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Discover 1,001 open source projects
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leehomyc/Faster-High-Res-Neural-Inpainting
High-performance neural inpainting library for filling in missing regions in high-resolution images.
becauseofAI/awesome-face
A repository for awesome face technology with various AI-powered features.
charlesXu86/Chatbot_CN
A chatbot framework for the finance and legal domains, with NLU, NLG, and knowledge graph capabilities.
eliorc/node2vec
A Python implementation of the node2vec algorithm for learning embeddings from graph-structured data.
JunMa11/MICCAI-OpenSourcePapers
A collection of open-source papers from the MICCAI conference, focused on deep learning and medical imaging.
jmtomczak/intro_dgm
Introductory examples and tutorials on deep generative modeling techniques like VAEs, GANs, and score-based models.
VikParuchuri/zero_to_gpt
A tutorial that takes developers from no deep learning knowledge to implementing GPT using PyTorch.
pnnl/neuromancer
A PyTorch-based framework for solving constrained optimization problems, physics-informed ML, and parametric model predictive control.
leofan90/Awesome-World-Models
A comprehensive list of papers on World Models, a technique for general video generation, embodied AI, and autonomous driving.
zeusees/License-Plate-Detector
A high-performance and accurate license plate detection library built using Yolov5 and ncnn.
LinXueyuanStdio/LaTeX_OCR_PRO
A powerful math formula OCR tool that supports handwritten, Chinese-mixed formulas and simple symbol reasoning.
ImprintLab/Medical-SAM-Adapter
A lightweight adapter that bridges the Segment Anything Model (SAM) with medical imaging applications.
aimerou/awesome-ai-papers
A curated list of the most impressive AI research papers for developers interested in cutting-edge AI.
tum-pbs/pbdl-book
Physics-based Deep Learning Book v0.3 - a comprehensive resource for AI developers
benedekrozemberczki/CapsGNN
A PyTorch implementation of the Capsule Graph Neural Network (CapsGNN) for graph classification tasks.
dair-ai/GNNs-Recipe
A comprehensive guide to learning about Graph Neural Networks (GNNs), a powerful deep learning technique for processing graph-structured data.
snap-research/articulated-animation
This repository contains code for a paper on motion representations for articulated animation, a key component in AI-driven animation and video generation.
weihua916/powerful-gnns
Exploring the capabilities of Graph Neural Networks (GNNs) with Python
greenelab/deep-review
A collaborative deep learning review paper focused on genomics and precision medicine.
vietnh1009/Super-mario-bros-PPO-pytorch
A PyTorch implementation of the Proximal Policy Optimization (PPO) algorithm for training an AI agent to play Super Mario Bros.
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