Explore Projects
Discover 4,064 open source projects
Showing 3361-3380 of 4,064 projects
qupath/qupath
An open-source bioimage analysis tool for researchers working with digital pathology and histology images.
tysam-code/hlb-CIFAR10
Fast CIFAR-10 training to state-of-the-art accuracy using PyTorch and a specialized CNN architecture.
NVlabs/DG-Net
A PyTorch library for joint discriminative and generative learning for person re-identification.
leehomyc/Faster-High-Res-Neural-Inpainting
High-performance neural inpainting library for filling in missing regions in high-resolution images.
ARM-software/armnn
A C++ library for running machine learning models on Arm hardware accelerators.
sicara/easy-few-shot-learning
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
becauseofAI/awesome-face
A repository for awesome face technology with various AI-powered features.
krishnaik06/Complete-RoadMap-To-Learn-AI
This GitHub repository provides a comprehensive roadmap for learning AI, covering various AI-related topics.
glutanimate/review-heatmap
An Anki add-on that helps track your review activity and stay on top of your learning progress.
Newmu/Theano-Tutorials
A tutorial project for learning machine learning using the Theano library in Python.
microsoft/MLOpsPython
MLOps tool for building and deploying machine learning models on Azure cloud services
simjanos-dev/LinguaCafe
LinguaCafe is a self-hosted language learning platform that uses AI-powered tools for dictionary and translation.
filipedeschamps/meu-primeiro-jogo-multiplayer
A simple multiplayer game built with Socket.IO for developers to test and learn real-time communication.
eliorc/node2vec
A Python implementation of the node2vec algorithm for learning embeddings from graph-structured data.
charlesXu86/Chatbot_CN
A chatbot framework for the finance and legal domains, with NLU, NLG, and knowledge graph capabilities.
pnnl/neuromancer
A PyTorch-based framework for solving constrained optimization problems, physics-informed ML, and parametric model predictive control.
jmtomczak/intro_dgm
Introductory examples and tutorials on deep generative modeling techniques like VAEs, GANs, and score-based models.
JunMa11/MICCAI-OpenSourcePapers
A collection of open-source papers from the MICCAI conference, focused on deep learning and medical imaging.
VikParuchuri/zero_to_gpt
A tutorial that takes developers from no deep learning knowledge to implementing GPT using PyTorch.
RoyalVane/CLAN
Research paper on domain adaptation and semantic-consistent transfer learning for computer vision.
Stay in the loop
Get weekly updates on trending AI coding tools and projects.