Hire the best Keras Freelancers in Istanbul, TR
Check out Keras Freelancers in Istanbul, TR with the skills you need for your next job.
- $50 hourly
- 5.0/5
- (29 jobs)
With a robust background in machine learning engineering, I excel in leveraging cutting-edge technologies to translate external business ideas into scalable & secure solutions. My expertise lies in designing solution frameworks and implementing innovative methodologies, including but not limited to : • NLP • Generative AI • Large Language Models (LLMs) • RAG (Retrieval-Augmented Generation) • ETL & ML Pipelines • Time Series Applications at scale. My track record of managing multiple projects simultaneously underscores my ability to thrive in fast-paced environments and make impactful decisions. I've been working in the data science field for 4 years. On the whole, I have a holistic set of machine learning skills and rich experience that enable me to find innovative solutions quickly. I look forward to working with you. My previous projects: - Advanced Rag Chatbot Deployed on AWS EC2: http://35.91.226.234:8501/ - Multilevel Multiclass Text Classification with Fine-Tuned BERT - Image Background Changing App using Stable Diffusion Inpainting (Image Inpainting) - Dynamic Ad Template Generator API with InstructPix2Pix (Image Editing) - Extending a Lexicon using GloVe Word Embeddings - Databricks PySpark Data Pipeline for Aggregating Billion Scale Data - Time Series Analysis and Models on Energy Consumption Data from different locations in Belgium and Germany - API Integrations & Calculations on Electricity Business Objectives - OCR for Parsing and Extracting Tables from Invoice PDFs to Excel - Colorado Real Estate EDA - SARIMAX (Time-Series) Model - Streamlit Dashboards and Inference Tool Built for US Real Estate and Economics Data - Imbalanced Binary Classification on Anonymized Data (Oversampling + CatBoost & hGBM) - Istanbul Garbage Management Optimization Project (Streamlit Presentation) - Data Processing Pipeline for 70 million rows of Electricity Sensor Data for a Research Project - Functions and Data Processing Pipeline to be Applied on 40 GB Bond Data - Wind Energy Production Forecasting - LSTM (Long Short Term Memory) Model for Lottery Prediction Tech Stack: • Programming Languages: Python, SQL, C++ • Machine Learning & Deep Learning: Tensorflow, Keras, Pytorch, Scikitlearn • NLP: Transformers, Langchain, Spacy, Nltk, Gensim, Faiss, , LangGraph, CrewAI, Pinecone, pgvector • Time-Series: Prophet, TSMixer, ARIMA, SARIMAX, LSTM • Mlops & Data Engineering: Linux, Apache Spark, Airflow, Docker, Flask, Streamlit, Gradio, Mlflow, Wandb, Optuna, CI/CD Pipelines • Cloud: Google (BigQuery, Cloud Functions, Cloud Run, Composer, Dataflow, Vertex AI), • AWS (Lambda, Sagemaker, S3, EC2, ECR, DynamoDB, Glue, Cloudwatch) • Azure(Databricks-PySpark) • Database: PostgreSQL, Pinecone, Chroma • Data Manipulation & Statistics: Pandas, Numpy, Opencv, Regex, Scipy, Statsmodels • Data Visualization: Matplotlib, Plotly • Web Scraping: Beautifulsoup, Requests • OpenAI API Integration, Prompt Engineering, Extracting Structured Outputs from LLMs (Kor) Pydantic • Fine-tuning LLM's (QLoRA-PEFT-DPO, LLama, Mistral..), Deploying Chatbots, Deploying LLMs • Text & Document Classification, Named Entity Recognition (NER), Building custom NER models, & Linking, Text Summarization, Question Answering, Topic Modeling & Clustering, Text Similarity & Word Embeddings, Part-of-Speech Tagging & Dependency Parsing, Sentiment Analysis, Text Generation, Information Extraction, Lexical Semantics & N-grams • Logistic Regression, SVM, Decision Trees, Random Forest, Gradient Boosting Machines (e.g., XGBoost, LightGBM, hGBM), k-nearest Neighbors (k-NN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), K-Means, DBSCAN, HDBSCAN, OPTICSKeras
Generative AIData EngineeringBig DataData AnalysisTime Series AnalysisApache SparkPythonData ScienceMachine LearningDeep LearningNatural Language ProcessingTensorFlowSQLPython Scikit-Learn - $40 hourly
- 4.8/5
- (12 jobs)
✅Experience: 12+ years in Computer Vision and software development with global companies ✅UI/UX & Application Development: Modern C++, Qt (Widgets/QML), C++Builder ✅Computer Vision & AI: OpenCV, MVTec Halcon, PyTorch, Keras, Scikit-learn, AWS SageMaker, ONNX ✅Object detection, classification, segmentation and tracking, Anomaly detection. ✅Python for ML/DL & automation ✅AWS Web Services for CV/ML/DL (SageMaker, S3, Lambda), AWS C++ SDK ✅Networking & Web Communication: TCP/IP, REST APIs, Web Services, WebSockets ✅Device & Embedded Communication: UART, RS-232, OPC UA, CAN Bus, Modbus, Bluetooth & NFC ✅Build & CI/CD: CMake, Conan, Jenkins ✅CI/CD: CMake, Conan, Jenkins ✅Version Control: Git, MercurialKeras
Industrial AutomationQt FrameworkQt CreatorQMLBorland C++ BuilderArtificial IntelligenceMachine LearningPyTorchComputer VisionOpenCVNeural NetworkPythonC++Deep Learning - $25 hourly
- 5.0/5
- (2 jobs)
Python Developer with frontend and backend skills. I am not preparing, writing, reviewing, correcting papers!!!! Supervised Learning Tasks Classification: Assigning input data to predefined categories. Example: Spam email detection, image classification. Regression: Predicting a continuous value based on input data. Example: House price prediction, stock market forecasting. Unsupervised Learning Tasks Clustering: Grouping similar data points into clusters without predefined labels. Example: Customer segmentation, document clustering. Dimensionality Reduction: Reducing the number of input variables in a dataset. Example: PCA (Principal Component Analysis), t-SNE, autoencoders. Anomaly Detection: Identifying rare or unusual data points in a dataset. Example: Fraud detection, fault detection in manufacturing. Natural Language Processing (NLP) Tasks Text Classification: Categorizing text into predefined categories. Example: Sentiment analysis, spam detection. Named Entity Recognition (NER): Identifying and classifying named entities (e.g., persons, organizations, locations) in text. Example: Extracting important entities from news articles. Text Summarization: Condensing a large document into a shorter summary. Example: News summarization, document summarization. Question Answering: Developing models to answer questions based on a given text. Example: Chatbots, search engines like Google’s featured snippets. Computer Vision Tasks Image Classification: Assigning a label to an image. Example: Cat vs. dog classification, object identification. Object Detection: Identifying and locating objects within an image. Example: Detecting cars and pedestrians in self-driving car cameras. Image Segmentation: Dividing an image into segments or regions corresponding to different objects. Example: Medical image analysis, scene segmentation. Face Recognition: Identifying or verifying a person’s identity from an image of their face. Example: Face unlock on smartphones. Pose Estimation: Detecting human body joints and limbs from an image or video. Example: Fitness applications, AR/VR. Generative Adversarial Networks (GANs): Creating realistic images, videos, or audio from random noise. Example: AI-generated art. Time Series Tasks Time Series Forecasting: Predicting future values based on historical time series data. Example: Weather forecasting, stock price prediction. Anomaly Detection in Time Series: Detecting unusual patterns or events in sequential data. Example: Fault detection in IoT devices, monitoring systems. Recommendation Systems Collaborative Filtering: Recommending items (movies, products) based on user preferences. Example: Netflix movie recommendations, Amazon product recommendations. Content-Based Filtering: Recommending items based on similarities in content or features. Example: Music recommendations based on song features. Generative Models Image Generation: Creating new images from learned distributions. Example: Generating realistic human faces, artwork. Text Generation: Generating new text, such as writing essays or code. Example: GPT-based models generating articles, blog posts.Keras
Convolutional Neural NetworkMachine LearningDeep LearningOpenCVClassificationTensorFlowpandasComputer Vision - $15 hourly
- 4.8/5
- (2 jobs)
Hello! My name is Elijah (or Ilia), and I'm a passionate Machine Learning Engineer with a huge experience in developing and deploying machine learning and deep learning models. I have a strong background in Python and have worked extensively with libraries such as TensorFlow, Keras, PyTorch, and Scikit-Learn. My areas of expertise include: Supervised and Unsupervised Learning Neural Networks and Deep Learning Natural Language Processing (NLP) Computer Vision Time Series Analysis Predictive Analytics I have successfully completed projects in various domains, including healthcare, finance, and e-commerce. My approach to any project involves a thorough analysis of the problem, feature engineering, model selection, training, and evaluation, followed by deployment. I also prioritize clear communication and collaboration with clients to ensure that the final product meets their requirements. In addition to my technical skills, I have a strong problem-solving ability, excellent communication skills, and am highly organized and deadline-driven. I'm always eager to learn about new developments in the field of AI and am continuously updating my skills to stay at the cutting edge. I'm looking forward to helping you turn your ideas into impactful machine learning solutions!Keras
Big DataPredictive AnalyticsArtificial IntelligenceDeep ToneDeep Learning ModelingDeep Neural NetworkTime Series AnalysisRPython Scikit-LearnPyTorchTensorFlowNatural Language ProcessingComputer VisionMachine Learning Model - $15 hourly
- 0.0/5
- (0 jobs)
With an engineering background and social skills, highly enthusiastic and well-educated data scientist. Experienced in data understanding, preprocessing, and implementing advanced ML-DL techniques.Keras
MySQL ProgrammingData CleaningAlgorithm DevelopmentExploratory Data AnalysisMicrosoft OfficeData AnalysisAnalytical PresentationDeep LearningVisualizationMySQLLong Short-Term Memory NetworkMachine Learning ModelData VisualizationMatplotlib - $10 hourly
- 5.0/5
- (1 job)
I'm a skilled data scientist and bioinformatician specializing in the analysis and visualization of biological data, especially genome and transcriptomic data. With a keen interest in the intersection of data science and computational biology, I am driven to uncover insights that contribute to scientific advancements. Equipped with experience in analyzing complex biological datasets, I am good at utilizing my expertise in Python, R, and Matlab to extract meaningful information and draw actionable conclusions.Keras
Data WranglingData VisualizationData AnalysispandasDeep LearningPyTorchBioinformaticsMolecular BiologyGeneticsMachine LearningData ScienceRMicrosoft ExcelPython - $15 hourly
- 0.0/5
- (1 job)
Highly motivated artificial intelligence engineer with foundations on machine learning and deep learning. Made AI projects with computer vision and NLP techniques by using Keras, Tensorflow and PyTorch as frameworks, Resnet and BERT as models. Recently, participated in computer vision projects in Bluesense and trained a segmentation model for wrinkle detection.Keras
Generative AINatural Language ProcessingData AnalysisArtificial IntelligenceMatplotlibData PreprocessingData AugmentationOpenCVComputer VisionpandasTensorFlowPyTorchPythonMachine Learning - $14 hourly
- 0.0/5
- (0 jobs)
I'm open to participating in object classification, object detection, and image segmentation projects.Keras
Data AnalysisRegression AnalysisClassificationNumPypandasMLflowTensorFlowMachine LearningDeep LearningComputer Vision - $23 hourly
- 0.0/5
- (0 jobs)
I'am an AI Engineering student at Bahcesehir University. I always try to DO MY BEST. I've experiences on my area. Please feel free to contact me :)Keras
Deep LearningPyTorchTensorFlowNumPypandasMachine Learning ModelMachine LearningArtificial Intelligence - $11 hourly
- 0.0/5
- (0 jobs)
I’m a fourth grade computer engineering student with a strong foundation in Artificial Intelligence (AI) and Machine Learning (ML) who aims to be a data scientist . Whether you need deep learning models, innovative robotics solutions, or automated workflows, I can help. My experience spans academic projects, internships, and competitive engineering challenges. Skilled in Python, Java, TensorFlow, Keras, UiPath, and MSSQL Expertise in deep learning models for cognitive load detection using EEG and eye-tracking data, semantic segmentation for robotics, data preprocessing including web scraping and predictive model training. Internship Experience: At Tat Gıda, I specialized in RPA development using UiPath, integrating systems like SAP and B2B supply chains, and supporting business intelligence initiatives through agile workflows and data verification. Projects: Co-developed a robot dog prototype for object recognition and navigation, and contributed to the Hermod Hyperloop project for Teknofest by programming GUIs, integrating sensors, and implementing algorithms, helping our team secure a top-5 finish. I thrive in collaborative environments where I can apply my technical skills and problem-solving abilities to deliver impactful results. Let’s work together to create innovative solutions to complex challenges!Keras
SQLObject-Oriented ProgrammingMicrosoft OfficeRobotic Process Automation SoftwareJavaPython Scikit-LearnData CollectionData AnalysisData ScienceDeep LearningPythonData ExtractionMachine LearningArtificial Intelligence - $5 hourly
- 0.0/5
- (0 jobs)
Hi, I'm Ali KILIÇ! I'm a developer specializing in artificial intelligence, machine learning, and deep learning projects. I'm experienced in C, Python, and Java, and I focus on: + Machine Learning & Deep Learning: Recommender systems, image processing, and natural language processing projects + Game & Robotics AI: Training agents in environments like Atari and BipedalWalker using RL algorithms such as A3C and PPO + Model Fine-Tuning & LLMs: Working with large language models like Llama, TinyLlama, and Falcon + Web-Based AI Applications: Developing interactive AI solutions with Flask and Streamlit I can manage projects from start to finish. Regular communication is important to me, so let’s stay in touch!Keras
Artificial Neural NetworkLarge Language ModelLLM PromptReinforcement LearningDeep LearningComputer VisionCJavaTensorFlowPythonMachine Learning ModelMachine LearningArtificial Intelligence - $25 hourly
- 0.0/5
- (0 jobs)
Hi! As a computer engineer, I believe that developing and computer engineering in all aspect, is the profession most similar to magician. You can do everything. Everything can be turn into anything. I develop high performance algorithms with tidy architecture and it becomes a nice application or part of it. That makes me feel like a wizard and I love it. I work like a crazy mad wizard on my desk, I use math skills, read scientific and technical documents, I do research well in a couple of languages and I do my best work in every single project. I do write code, analyse the daha and report well. Your data science projects in R, Python, Weka, Rapidminer, SPSS, Matlab or any (we can talk about it), your software projects in C, C++, C#, .Net, Swift, Go and maybe a couple more languages. There is some platforms like Xamarin, Firebase, Azure that I can work on. As always, every project is my best work. Let's talk about it!Keras
Data MiningRTensorFlowMachine LearningPythonDatabaseCBig DataData Analysis.NET FrameworkDeep LearningC++C#SQL - $20 hourly
- 0.0/5
- (0 jobs)
Hello and welcome to my profile! Throughout my career, I have been involved in numerous exciting projects, and I would like to introduce a few of them. Firstly, I have worked on real-time personnel tracking and equipment detection using security cameras. In this project, I analyzed surveillance footage and developed innovative solutions to determine the whereabouts of personnel and detect their equipment. I have also developed software for controlling shift in/out processes by utilizing facial data. By leveraging facial recognition algorithms, I implemented a system that authenticated personnel and recorded their shift records, optimizing workflow processes. I have experience in verifying human authenticity through liveness detection. In this project, I utilized artificial intelligence algorithms to differentiate between genuine human faces and other deceptive factors, creating a system that accurately identifies human presence. Additionally, I have optimized OCR (Optical Character Recognition) for mobile phones using Tesseract OCR. By incorporating the Tesseract OCR library, I improved the recognition accuracy of text-based information on mobile devices, enhancing user experience. I have also conducted analysis and reporting of production defects using image processing. By applying image processing algorithms, I detected and reported flaws in manufacturing processes, thereby improving quality control procedures. Furthermore, I have analyzed the frequency of different types of ships in ports. By utilizing ship monitoring systems, I identified and analyzed various ship types, providing valuable insights based on their presence in the port. I have been actively involved in the field of artificial intelligence for over three years, constantly developing and implementing projects. Throughout this journey, I have effectively utilized Python, Linux, Object Detection, Object Tracking, Interface Design, CUDA, Dlib, CMake, OpenCV, TensorFlow, PyTorch, Face Recognition, Face Detection, and Re-Identification, among other technologies, while successfully integrating them into my projects. I have also completed projects using industrial cameras and the Nvidia Jetson platform. By integrating industrial cameras with image processing applications, I processed and optimized data to achieve desired outcomes. In my projects, I have extensively utilized Python and Linux-based systems. Additionally, I have focused on topics such as object detection, object tracking, user interface design, CUDA programming, Dlib and CMake libraries, OpenCV image processing, deep learning with TensorFlow and PyTorch, as well as face recognition, face detection, and re-identification. Furthermore, I have successfully executed projects involving Python, Linux, Object Tracking Algorithms, Nvidia Jetson, Raspberry Pi, YOLO, ELK (Elasticsearch, Logstash, Kibana), SQLite, cPanel, OpenCV, AprilTag, and Aruco. Through these projects, I have gained valuable experience in areas such as object tracking, data analysis, image processing, and labeling. In addition to my technical expertise, I possess fundamental knowledge of cybersecurity and can conduct penetration testing. I am skilled in identifying security vulnerabilities, performing network security assessments, and uncovering system weaknesses. As an artificial intelligence engineer, I am dedicated to continuously improving myself, incorporating the latest technological advancements and research into my projects. I am passionate about the field of technology and artificial intelligence, and I strive to make meaningful contributions through my work. Thank you for visiting my profile, and please feel free to reach out to me for any further inquiries or potential collaboration opportunities. Best regards,Keras
JavaScriptComputer ScienceDeep Learning ModelingArtificial IntelligenceLinuxDeep Neural NetworkComputer VisionMachine Learning ModelMachine LearningDeep Learning - $10 hourly
- 0.0/5
- (0 jobs)
Hello!👋 I am an engineer and developer specialized in image processing and computer vision projects. I specialized in image processing with deep learning models, object recognition, face recognition and image segmentation. I develop custom solutions for my clients' business needs using tools such as Python, OpenCV, TensorFlow and Keras. 💻 Technical Expertise 🔹 Programming Languages: Python 🔹 Image Processing: OpenCV, scikit-image 🔹 Object Detection & Segmentation: YOLO, Mask R-CNN, U-Net, Faster R-CNN 🔹 Video Processing: MoviePy 🔹 ML/DL Frameworks: TensorFlow, Keras, PyTorch, Scikit-learn 🔹 Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn 🔹 Deployment: Flask, FastAPI, Docker 🔹 Web Scraping: Selenium, BeautifulSoup, Scrapy 🙏🏻 Why Work With Me? 🔸 End-to-End Solution Design: From concept to deployment, I handle every aspect of computer vision projects. 🔸 Business-Oriented: I focus on delivering practical solutions that directly address your business needs. 🔸 Clear Communication: Regular updates and detailed documentation ensure you're always informed about project progress. 🔸 Proven Track Record: Consistent history of delivering high-quality solutions within agreed timelines. ✨ My Work Approach ➜ Discovery: Understand your business needs and objectives. ➜ Design: Develop a comprehensive project roadmap. ➜ Development: Implement cutting-edge technology to build scalable solutions. ➜ Delivery: Deploy and test the solution, ensuring seamless integration. ➜ Support: Provide ongoing maintenance and enhancements if needed. 📩 Let’s Get Started! Do you have an idea or project? Let's bring it to life together! 🚀Keras
TensorFlowData ScrapingWeb ScrapingData ScienceData CleaningComputer VisionGPT ChatbotOpenCVPythonImage ProcessingData AnalysisDeep LearningArtificial IntelligenceMachine Learning - $3 hourly
- 0.0/5
- (0 jobs)
I studied artificial intelligence. I have a thesis on digital hospitals. I also published a research article on digital hospitals in an international journal. I have completed 37 projects on data analysis, Data Visualization, Computer Vision, NLP Sentiment Analysis, Recomender Systems, Big Data. I would like to work with you because I believe that I will benefit from our institution and develop me.Keras
SeabornOffice 365Data AnalysisData VisualizationMatplotlibSentiment AnalysisTensorFlowMachine LearningComputer VisionDeep LearningpandasOpenCV - $10 hourly
- 0.0/5
- (0 jobs)
I’m a Data Scientist experienced in building end-to-end machine learning solutions for small and medium-sized businesses. Whether you’re looking to develop NLP models (I have a published paper in this field), perform advanced data analysis, or implement state-of-the-art computer vision solutions with transfer learning, I can help. Experienced in Machine Learning from data collection and cleaning to model design and deployment Skilled in feature selection, feature engineering, and fine-tuning Proficient with NLP, Computer Vision, and Transfer Learning methods Hands-on experience deploying real-world machine learning modelsKeras
Machine Learning ModelData PreprocessingMachine LearningNatural Language ProcessingOracle DatabaseSQLFeature EngineeringFeature SelectionNeural NetworkDeep LearningConvolutional Neural NetworkTensorFlowPython Scikit-LearnPython Want to browse more freelancers?
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