Trending AI reposUpdated daily from GitHub
AI, coding & video AI repos ranked by star growth.
AI, coding & video AI repos ranked by star growth.
| # | Repo | Stars | 7d |
|---|---|---|---|
| 2051 | PA PaddlePaddle/X2Paddle Deep learning model converter for PaddlePaddle. (『飞桨』深度学习模型转换工具) Training & fine-tuning | 772 | — |
| 2052 | VB | 772 | — |
| 2053 | AM amitshekhariitbhu/Android-TensorFlow-Lite-Example Android TensorFlow Lite Machine Learning Example Training & fine-tuning | 772 | — |
| 2054 | QG qgallouedec/panda-gym Set of robotic environments based on PyBullet physics engine and gymnasium. Training & fine-tuning | 772 | — |
| 2055 | WM wmcnally/kapao KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses. Training & fine-tuning | 771 | — |
| 2056 | EC | 771 | — |
| 2057 | BU buildwithparallel/haven-manet-ip-mesh-radio Haven – MANET IP Mesh Radio toolkit Training & fine-tuning | 771 | — |
| 2058 | MF | 770 | — |
| 2059 | IO iot-salzburg/gpu-jupyter GPU-Jupyter: Your GPU-accelerated JupyterLab with a rich data science toolstack, TensorFlow and PyTorch for your reproducible deep learning experiments. Training & fine-tuning | 769 | — |
| 2060 | SA sachinhosmani/torchvista Interactive Pytorch forward pass visualization in notebooks Training & fine-tuning | 769 | — |
| 2061 | HE hengyuan-hu/bottom-up-attention-vqa An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge. Training & fine-tuning | 768 | — |
| 2062 | ON oneTaken/awesome_deep_learning_interpretability 深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码) Training & fine-tuning | 768 | — |
| 2063 | TH ThoughtWorksInc/DeepLearning.scala A simple library for creating complex neural networks Training & fine-tuning | 767 | — |
| 2064 | FI | 766 | — |
| 2065 | HI higgsfield/Capsule-Network-Tutorial Pytorch easy-to-follow Capsule Network tutorial Training & fine-tuning | 766 | — |
| 2066 | 4U 4uiiurz1/pytorch-deform-conv-v2 PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution) Training & fine-tuning | 765 | — |
| 2067 | BU | 764 | — |
| 2068 | WI WIKI2020/FacePose_pytorch 🔥🔥The pytorch implement of the head pose estimation(yaw,roll,pitch) and emotion detection with SOTA performance in real time.Easy to deploy, easy to use, and high accuracy.Solve all problems of face detection at one time.(极简,极快,高效是我们的宗旨) Training & fine-tuning | 764 | — |
| 2069 | MA maudzung/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020) Training & fine-tuning | 764 | — |
| 2070 | ZE | 764 | — |
| 2071 | AT | 764 | — |
| 2072 | YE yeyupiaoling/PaddlePaddle-DeepSpeech 基于PaddlePaddle实现的语音识别,中文语音识别。项目完善,识别效果好。支持Windows,Linux下训练和预测,支持Nvidia Jetson开发板预测。 Training & fine-tuning | 764 | — |
| 2073 | MA mattmacy/vnet.pytorch A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Training & fine-tuning | 762 | — |
| 2074 | TE texturedesign/texturize 🤖🖌️ Generate photo-realistic textures based on source images or (soon) PBR materials. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture. Training & fine-tuning | 762 | — |
| 2075 | MA Mariewelt/OpenChem OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research Training & fine-tuning | 762 | — |
| 2076 | WA wanmeihuali/taichi_3d_gaussian_splatting An unofficial implementation of paper 3D Gaussian Splatting for Real-Time Radiance Field Rendering by taichi lang. Training & fine-tuning | 761 | — |
| 2077 | CM CMU-Perceptual-Computing-Lab/openpose_unity_plugin OpenPose's Unity Plugin for Unity users Training & fine-tuning | 761 | — |
| 2078 | BA baidu-research/NCRF Cancer metastasis detection with neural conditional random field (NCRF) Training & fine-tuning | 761 | — |
| 2079 | FU | 760 | — |
| 2080 | UD | 760 | — |
| 2081 | MA mangye16/ReID-Survey Deep Learning for Person Re-identification: A Survey and Outlook Training & fine-tuning | 760 | — |
| 2082 | ZH zhirongw/lemniscate.pytorch Unsupervised Feature Learning via Non-parametric Instance Discrimination Training & fine-tuning | 760 | — |
| 2083 | IK ikostrikov/jaxrl JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces. Training & fine-tuning | 760 | — |
| 2084 | NN | 758 | — |
| 2085 | HR hrnbot/Basic-Mathematics-for-Machine-Learning The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI Training & fine-tuning | 757 | — |
| 2086 | HF hfawaz/InceptionTime InceptionTime: Finding AlexNet for Time Series Classification Training & fine-tuning | 755 | — |
| 2087 | DE | 755 | — |
| 2088 | JC jcool98/cs-wiki 📙 致力打造完善的后端知识体系. Not only an Interview-Guide, but also a Learning-Direction. Training & fine-tuning | 755 | — |
| 2089 | WH | 755 | — |
| 2090 | XI xinjli/allosaurus Allosaurus is a pretrained universal phone recognizer for more than 2000 languages Training & fine-tuning | 754 | — |
| 2091 | OP | 754 | — |
| 2092 | BO bobbens/sketch_simplification Models and code related to sketch simplification of rough sketches. Training & fine-tuning | 754 | — |
| 2093 | TE texttron/tevatron Tevatron - Unified Document Retrieval Toolkit across Scale, Language, and Modality. Demo in SIGIR 2023, SIGIR 2025. Training & fine-tuning | 753 | — |
| 2094 | SO soapisnotfat/super-resolution collection of super-resolution models & algorithms Training & fine-tuning | 753 | — |
| 2095 | JV jvpoulos/causal-ml Must-read papers and resources related to causal inference and machine (deep) learning Training & fine-tuning | 753 | — |
| 2096 | JI | 753 | — |
| 2097 | CH charliedream1/ai_wiki 《AI全栈-全网优秀资源搜集站》:搜集全网优秀资源,记载工程实践问题的解决策略与关键要点,分享各种实用案例,追踪前沿技术发展,囊括 AI 全栈知识,涵盖大模型、编程技术、机器学习、深度学习、强化学习、图神经网络、语音识别、NLP 及图像识别等领域 Training & fine-tuning | 753 | — |
| 2098 | KE kennethleungty/Failed-ML Compilation of high-profile real-world examples of failed machine learning projects Training & fine-tuning | 752 | — |
| 2099 | HS | 752 | — |
| 2100 | MO monologg/JointBERT Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling" Training & fine-tuning | 751 | — |