You will get Machine learning, Deep learning, and Computer vision Projects in python
Project details
Hey, if you are looking for someone who can provide you with any Machine Learning, Deep Learning, Computer Vision and NLP task or project in python, then you have come to the right place.
I'm experienced in all aspects of software life-cycle, from concept to deployment.
I can start project from scratch and return you a complete product.
ā My services:
š Computer Vision / Deep Learning
ā¼ Image Classification ā Image Captioning ā Image Stitching ā Image Super Resolution ā Face Super Resolution ā Art Generation ā Style Transfer ā Avatar Generation ā Synthetic Media Generation ā Image Segmentation ā Video Activity Recognition ā Object Detection ā Face Recognition ā Emotion Detection ā GANs ā CNN.
š Natural Language Processing
ā¼ Sentiment Analysis ā Language Translations ā Text Clustering ā Information Retrieval ā Named Entity Recognition ā Text Summerization ā Automatic Image Captioning ā Topic Modelling ā Chatbot
ā Tools:
š Programming Languages
ā¼ Python ā Java
š Frameworks
ā¼ Matplotlib ā Seaborn ā Pandas ā Numpy
ā¼ SpaCy ā Gensim ā HuggingFaces ā NLTK
ā¼ Pytorch ā Scikit-Learn ā Tensorflow ā Keras
I'm experienced in all aspects of software life-cycle, from concept to deployment.
I can start project from scratch and return you a complete product.
ā My services:
š Computer Vision / Deep Learning
ā¼ Image Classification ā Image Captioning ā Image Stitching ā Image Super Resolution ā Face Super Resolution ā Art Generation ā Style Transfer ā Avatar Generation ā Synthetic Media Generation ā Image Segmentation ā Video Activity Recognition ā Object Detection ā Face Recognition ā Emotion Detection ā GANs ā CNN.
š Natural Language Processing
ā¼ Sentiment Analysis ā Language Translations ā Text Clustering ā Information Retrieval ā Named Entity Recognition ā Text Summerization ā Automatic Image Captioning ā Topic Modelling ā Chatbot
ā Tools:
š Programming Languages
ā¼ Python ā Java
š Frameworks
ā¼ Matplotlib ā Seaborn ā Pandas ā Numpy
ā¼ SpaCy ā Gensim ā HuggingFaces ā NLTK
ā¼ Pytorch ā Scikit-Learn ā Tensorflow ā Keras
What's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 1 | 2 |
Number of Scenarios | 1 | 1 | 2 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code |
About Muhammad
Machine Learning | Deep Learning | Computer Vision | Nvidia Jetson
Islamabad, PakistanĀ - 3:06 am local time
āļø Experienced in all aspects of software life-cycle; from concept to deployment.
āļø Hands-on experience in different Deep Learning frameworks/Models i.e. Pytorch, Tensorflow, Keras, Detectron2, YOLO,
āļø Can convert deep learning models to ONNX, OpenVino and TensorRt to deploy models on edge devices i.e. NVIDIA Jetson and Raspberry Pi.
I'm providing following services:
ā Data Engineering
š Building data pipelines. Extracting features for machine learning models.
š Data Labelling (Label Studio)
š Label Studio with ML backend
š Transformation and Loading (ETL), Data Analysis, Data Visualization
ā Deep Learning / Computer Vision / NLP
š Training prediction models (Classification, Regression, Timeseries Analyses)
š Image Classification, Object Detection, Semantic Segmentation, Instance Segmentation
š Face Recognition, Emotion Detection, Activity Recognition, Human Pose Estimation
š OCR, License Plate Recognition (ALPR/ANPR)
š Natural Language Processing, Understanding and Generation (NLP/NLU/NLG)
š Information Retrieval/Extraction. Text Classification, Question Answering. Summarizing. Paraphrasing Generation/Detection. Text/Content Generation. NER.
š Pytorch, Keras, Tensorflow, Huggingface Transformer, Sentence Transformers, Transformer Models, BERT
ā DevOps/MLOps Engineer
š Deploying and monitoring production systems. Handling infrastructure.
š Creating cost-effective RESTful APIs of your Machine Learning prediction models.
š Flask, AWS, AWS Lambda, Google ML Platform, S3, Serverless, Docker, Amazon Sage Maker
š Google Cloud platform, TensorFlow Serving, TorchScript, ONNX
š Jenkins, Github
āļø Iāll create and deploy RESTful API(s) for your ML models which you can integrate into your app.
āļø If you need more than an API, Iāll write the User-Interface for you as well.
š React JS / Angular
š Node.js
š JavaScript/HTML/CSS
š Desktop Applications (PyQT5)
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Information Gathering
Take information from the client and draw a system architecture diagram to show how system interacts and behave
Identify scope of project
Identify scope of project from the gathered information.