You will get machine learning deep learning computer vision image processing nlp text
Project details
Welcome to my model training gig! If you're looking for precise model services for computer vision and deep learning projects, you're in the right place.
Services:
Object Detection
Segmentation
Fine tunning
Sentiment Analysis
Models
Artificial Neural Networks (ANNs):
Multilayer Perceptron (MLP)
Convolutional Neural Network (CNN)
Recurrent Neural Network (RNN)
Long Short-Term Memory (LSTM)
Gated Recurrent Unit (GRU)
Feedforward Neural Networks (FNN):
Radial Basis Function Network (RBFN)
Autoencoder
Convolutional Neural Networks (CNNs):
LeNet
AlexNet
VGG (Visual Geometry Group)
GoogLeNet (Inception)
ResNet (Residual Networks)
MobileNet
Recurrent Neural Networks (RNNs):
Attention-Based Models:
Transformer
BERT (Bidirectional Encoder Representations from Transformers)
GPT (Generative Pre-trained Transformer)
T5 (Text-to-Text Transfer Transformer)
XLNet
RoBERTa
ALBERT
DistilBERT
Generative Adversarial Networks (GANs):
Vanilla GAN
DCGAN (Deep Convolutional GAN)
WGAN (Wasserstein GAN)
CycleGAN
StyleGAN
Reinforcement Learning Models:
Sequence-to-Sequence Models:
Seq2Seq
Attention-based Seq2Seq
Transformer-based Seq2Seq
BERT for Seq2Seq tasks
Siamese Networks:
Services:
Object Detection
Segmentation
Fine tunning
Sentiment Analysis
Models
Artificial Neural Networks (ANNs):
Multilayer Perceptron (MLP)
Convolutional Neural Network (CNN)
Recurrent Neural Network (RNN)
Long Short-Term Memory (LSTM)
Gated Recurrent Unit (GRU)
Feedforward Neural Networks (FNN):
Radial Basis Function Network (RBFN)
Autoencoder
Convolutional Neural Networks (CNNs):
LeNet
AlexNet
VGG (Visual Geometry Group)
GoogLeNet (Inception)
ResNet (Residual Networks)
MobileNet
Recurrent Neural Networks (RNNs):
Attention-Based Models:
Transformer
BERT (Bidirectional Encoder Representations from Transformers)
GPT (Generative Pre-trained Transformer)
T5 (Text-to-Text Transfer Transformer)
XLNet
RoBERTa
ALBERT
DistilBERT
Generative Adversarial Networks (GANs):
Vanilla GAN
DCGAN (Deep Convolutional GAN)
WGAN (Wasserstein GAN)
CycleGAN
StyleGAN
Reinforcement Learning Models:
Sequence-to-Sequence Models:
Seq2Seq
Attention-based Seq2Seq
Transformer-based Seq2Seq
BERT for Seq2Seq tasks
Siamese Networks:
Machine Learning Tools
Azure Machine Learning, BERT, Caffe, ChatGPT, Google AutoML, GPT-3, Keras, MLflow, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlow, Tesseract OCR, TextBlob, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$80
|
Standard
$130
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 6 days |
Number of Revisions | 3 | 3 | 4 |
Number of Model Variations | 2 | 3 | 4 |
Number of Scenarios | 2 | 3 | 4 |
Number of Graphs/Charts | 2 | 2 | 2 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $50
Additional Revision
+$5
Additional Model Variation
(+ 1 Day)
+$20
Additional Scenario
(+ 1 Day)
+$20
Additional Graph/Chart
+$2
Model Documentation
(+ 1 Day)
+$10
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NK
Nusrat K.
Feb 2, 2025
Develop a Comprehensive BImp-Based BP Estimation
This freelancer needs to be removed from Upwork platform.
NK
Nusrat K.
Dec 18, 2024
Cuffless Blood Pressure Prediction Linear Regression from ECG, PPG and Bioimpedance signals
JW
Jacqueline W.
Oct 21, 2024
OCR Screenshot-To-Text roughly 18k Screenshots automatically
Rehan helped me with my project and i got exactly what i needed. Thank you for the great work!
ST
Shah Ahsanuzzaman Md T.
Apr 12, 2023
Developer needed for data analysis
He is good in coding.
MC
Maria C.
Jan 16, 2023
Image recognition
About Rehan
Expert in Machine Learning, Deep Learning & Generative AI Specialist
33%
Job Success
Lahore, Pakistan - 7:56 pm local time
+ Generative Models: Expertise in building and fine-tuning models like GPT-3, GPT-2, VQ-VAE, DALL-E, StyleGAN for text and image generation, enabling the creation of realistic content and synthetic data.
+ Transformer Architectures: Proficient in leveraging BERT, RoBERTa, Transformer-XL, T5, XLNet for NLP tasks such as text classification, summarization, and translation, providing state-of-the-art performance.
+ CNN Architectures: Experienced with architectures like ResNet, VGG, Inception, MobileNet, EfficientNet for image recognition, classification, and enhancement tasks, ensuring high accuracy and efficiency.
+ Object Detection Models: Skilled in models such as YOLO (v3, v4, v5), Faster R-CNN, SSD, RetinaNet for detecting and localizing objects in images or videos, applicable in surveillance, autonomous vehicles, and quality control.
+ Segmentation Models: Expertise in U-Net, Mask R-CNN, DeepLabV3 for separating different objects in images, crucial in medical imaging and satellite image analysis.
+ Reinforcement Learning: Advanced knowledge in DQN, DDPG, A3C, PPO for creating models that learn and make decisions in dynamic environments, applicable in robotics and gaming AI.
Natural Language Processing (NLP) Expertise:
+ Text Classification: Developing models for spam detection, sentiment analysis, and document categorization using BERT, LSTM, XLNet to extract meaningful patterns.
+ Named Entity Recognition (NER): Extracting entities such as names, dates, and locations with SpaCy, RoBERTa, NER BERT for information retrieval and data organization.
+ Machine Translation: Utilizing T5, MarianMT, GPT-3 to translate text between languages, aiding in global communication and content localization.
+ Sentiment Analysis: Analyzing feedback, reviews, and social media sentiments using LSTM, GRU, BERT to understand public opinion and customer satisfaction.
+ Text Summarization: Creating concise summaries from long documents using T5, BART, Pegasus, helping in quick information dissemination.
+ Chatbots: Developing intelligent chatbots with GPT-3, DialogFlow, Rasa for customer service, virtual assistants, and interactive user experiences.
+ Question Answering Systems: Building systems like BERT, BiDAF, ALBERT for providing accurate answers to user queries based on context and knowledge bases.
Computer Vision Expertise:
+ Object Detection: Implementing YOLO, Faster R-CNN for applications like autonomous driving, surveillance, and quality inspection by identifying and tracking objects in real-time.
+ Image Segmentation: Segmenting images with U-Net, Mask R-CNN, DeepLabV3 to isolate regions of interest, diagnosis and monitoring.
+ Facial Recognition: Using FaceNet, Dlib, MTCNN for secure authentication, surveillance, and personal identification tasks.
+ Video Analytics: Analyzing and processing video content with I3D, R(2+1)D to extract actionable insights for security, entertainment, and sports analysis.
Predictive Analytics & Time Series Forecasting:
+ Time Series Forecasting: Using LSTM, GRU, ARIMA for predicting stock prices, sales, and economic trends based on historical data patterns.
+ Anomaly Detection: Identifying unusual patterns and outliers with Autoencoders, Isolation Forest to detect fraud, defects, or system failures.
+ Predictive Maintenance: Forecasting equipment failure and maintenance needs using Random Forest, XGBoost to reduce downtime and operational costs.
Generative AI & Synthetic Data Creation:
+ Text Generation: Creating human-like text for content creation, chatbots, and storytelling with GPT-3, GPT-2, T5.
+ Image Generation: Producing synthetic images with models like GANs, DALL-E, StyleGAN for art, design, and data augmentation.
+ Video Generation: Synthesizing video content with TGAN, VGAN for media, entertainment, and simulation purposes.
Data Preprocessing & Feature Engineering:
+ Data Cleaning: Handling missing data, noise, and inconsistencies with tools like Pandas, NumPy, etc.
+ Feature Engineering: Extracting and selecting relevant features using PCA, LDA, etc.
Handling Imbalanced Datasets: Applying techniques like SMOTE, ADASYN, etc.
Deployment & Integration:
+ Web Application Integration: Deploying models into Flask, Django
+ Cloud Deployment: Using AWS SageMaker, Google Cloud AI
+ MLOps & Model Monitoring: Continuous integration with Kubeflow, MLflow
+ Model Optimization: Techniques like Quantization, Pruning
Why Choose Me?
Proven Expertise: Over 5 years in AI across various fields and continuously researching AI advancements
Custom Solutions: Tailored solutions for business goals
Collaborative Approach: Working closely with stakeholders for exceptional results
Full Lifecycle Support.
Steps for completing your project
After purchasing the project, send requirements so Rehan can start the project.
Delivery time starts when Rehan receives requirements from you.
Rehan works on your project following the steps below.
Revisions may occur after the delivery date.
Data Annotation, Preprocessing
In this I will annotate/preprocess data and prepare data for model training.
Model Training and fine tunning
I will train required model and fine-tune the model as needed.