mhhamdan Goto Github PK
Name: Mohammed Hamdan
Type: User
Company: Université du Québec (ETS)
Bio: I possess a true passion to Machine Learning and Computer Vision. #MLCV
Twitter: Mohamme22877190
Location: Montreal Canada
Name: Mohammed Hamdan
Type: User
Company: Université du Québec (ETS)
Bio: I possess a true passion to Machine Learning and Computer Vision. #MLCV
Twitter: Mohamme22877190
Location: Montreal Canada
Public implementation of our CVPR Paper "OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page TextRecognition by learning to unfold"
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Initial portfolio
To practice ML_CV
Practical Problem solving
Sampling profiler for Python programs
Python Basics: A Practical Introduction to Python 3
Python Deep Dive Course - Accompanying Materials
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
Json Formatter for the standard python logger
Python Machine Learning By Example Third Edition, published by Packt
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Pytorch implementation of convolutional neural network visualization techniques
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Deep Learning (with PyTorch)
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Part of ZTM Course on Mastering the Coding Interview
Pytorch implementation for pixel-wise scene text segmentation based on DeepLabV3+
How to code schedule script in Python
Scipy library main repository
Build a sentiment analysis application, Containerize Machine Learning Application using Docker and use Cloud services for deployment
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification on HAM10000 dataset largescale data.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.