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Discover 4,064 open source projects
Showing 1521-1540 of 4,064 projects
tamarott/SinGAN
Official PyTorch implementation of the SinGAN paper, a generative model that can be trained on a single natural image.
xinghaochen/awesome-hand-pose-estimation
A comprehensive library for hand pose estimation and tracking, useful for human-computer interaction projects.
s16h/py-must-watch
A curated list of must-watch Python videos for developers to learn and improve their skills.
M-3LAB/awesome-industrial-anomaly-detection
A comprehensive resource for industrial image anomaly/defect detection papers and datasets.
Infatoshi/cuda-course
A CUDA course for developers to learn about GPU computing and parallel processing.
plainhub/plain-app
An open-source Android app that lets you securely manage your phone from a web browser, with a focus on privacy and productivity.
aurelio-labs/semantic-router
A Python library that provides superfast AI decision-making and intelligent multi-modal data processing.
krishnakumarsekar/awesome-quantum-machine-learning
A curated list of resources and projects related to quantum machine learning, algorithms, and frameworks.
XinJingHao/DRL-Pytorch
Clean, robust, and unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms.
zhashkevych/awesome-backend
A curated list of backend development resources for developers to learn and improve their skills.
umlx5h/LLPlayer
A media player for language learning with AI-powered features like dual subtitles, real-time translation, and more.
limix-ldm-ai/LimiX
LimiX is a Python library that enables structured-data modeling capability for generalist intelligence.
rasbt/reasoning-from-scratch
Implement reasoning LLM in PyTorch from scratch
libAudioFlux/audioFlux
A comprehensive library for audio and music analysis, feature extraction, and deep learning applications.
VainF/Torch-Pruning
A high-performance library for efficient neural network pruning and compression across LLMs, vision models, and more.
mne-tools/mne-python
Python library for analyzing magnetoencephalography (MEG) and electroencephalography (EEG) data.
matheusfacure/python-causality-handbook
A light-hearted yet rigorous approach to learning about impact estimation and causality in Python.
facebookresearch/ijepa
The I-JEPA codebase provides a self-supervised learning architecture for joint image-text embedding.
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data, useful for vibe coders working on AI-powered applications.
ysh329/deep-learning-model-convertor
A convertor/conversion tool for deep learning models across various deep learning frameworks/software.
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