3,646étoiles+2in 24h
« Les mathématiques ne sont pas difficiles » : *L’algèbre linéaire n’est pas difficile*, tomes 1 et 2, avec 66 sujets. Les critiques et corrections sont les bienvenues.
Apprentissage automatique · GitHub
Explorez les outils pour entraîner, évaluer et exécuter des modèles, et comparez leur popularité.
Projets GitHub utiles
4,743 projets
sdnext
vladmandic
7,378étoiles+2in 24h
SD.Next: All-in-one WebUI for AI generative image and video creation, captioning and processing
- Generate and edit: Create images or videos from text or images; edit, inpaint, outpaint, refine, detail
- Guide generation: Use LoRA, ControlNet, IP-Adapters, and Prompt enhancement
modern-llm-notebook
walkinglabs
286étoiles+2in 24h
A hands-on course on modern LLM architectures, training, and inference, with step-by-step PyTorch implementations and runnable notebooks.
webdataset
webdataset
3,219étoiles+2in 24h
Un système d’E/S haute performance basé sur Python pour les problèmes d’apprentissage profond de grande (et de petite) taille, avec une prise en charge étendue de PyTorch.
Xsdsh-purge
xiaoshe1337-star
166étoiles+2in 24h
沿用了此项目：https://github.com/YuJunZhiXue/dsh-purge 专注于deepseek harness破甲|逆向|渗透| 适配最新版deepseek harness ：deepseek v4.1 flash 最新版 更新q群562341656
projectlearn-project-based-learning
Xtremilicious
6,400étoiles+2in 24h
Une liste sélectionnée de tutoriels de projets pour l'apprentissage par projet.
DIS
xuebinqin
2,591étoiles+2in 24h
This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
ml-road
yanshengjia
4,982étoiles+2in 24h
Ressources, pratiques et recherche sur l’apprentissage automatique et l’IA agentique
video-subtitle-extractor
YaoFANGUK
9,724étoiles+2in 24h
Outil graphique et framework d’apprentissage profond permettant d’extraire les sous-titres incrustés dans les vidéos et de générer des fichiers SRT. Il ne nécessite aucune API tierce et effectue la reconnaissance de texte localement. Il comprend la détection des zones de sous-titres et l’extraction de leur contenu.
QuantMuse
0xemmkty
2,988étoiles+1in 24h
A comprehensive quantitative trading system with AI-powered analysis, real-time data processing, and advanced risk management
- 🔬 Advanced Factor Analysis: Multi-factor models with momentum, value, quality, and volatility factors
- 🤖 AI/LLM Integration: OpenAI GPT integration for market analysis and strategy recommendations
OpenMLDB
4paradigm
1,718étoiles+1in 24h
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
pytorch-nested-unet
4uiiurz1
1,056étoiles+1in 24h
PyTorch implementation of UNet++ (Nested U-Net).
approachingalmost
abhishekkrthakur
8,409étoiles+1in 24h
Approaching (Almost) Any Machine Learning Problem
mace
ACEsuit
1,412étoiles+1in 24h
MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.
adapters
adapter-hub
2,833étoiles+1in 24h
A Unified Library for Parameter-Efficient and Modular Transfer Learning
Machine-Learning-Links-And-Lessons-Learned
adeshpande3
1,007étoiles+1in 24h
List of all the lessons learned, best practices, and links from my time studying machine learning
- It's also model dependent. Normalization will likely help for linear models like linear/logistic reg, but won't be as helpful for deep learning models and neural networks.
- In order to determine whether it will help or not, visualize your data to see what type of features you're dealing with. Do you have some features that have values around 1000 or 2000? Do you have some that are only 0.1 or 0.2? If so, normalizing those inputs is likely a good idea.
multi-object-tracker
adipandas
698étoiles+1in 24h
Multi-object trackers in Python
underPINN
Aeroscience-Computations-Analysis-Lab
39étoiles+1in 24h
A modular, JAX-based framework for Physics-Informed Neural Networks, designed for scalable PDE-constrained learning with support for domain decomposition, attention mechanisms, and performance-oriented training.
face_recognition
ageitgey
56,893étoiles+1in 24h
L’API de reconnaissance faciale la plus simple au monde pour Python et la ligne de commande
- Identify specific facial features in a photograph
- Apply (horribly ugly) digital make-up
Plant-Disease-Classification
AhmadJeddi
49étoiles+1in 24h
A ResNet50-DCBAM deep learning framework for plant disease classification using the PlantVillage dataset with reproducible training and evaluation pipelines.
- ResNet50 backbone with pretrained ImageNet weights
- Channel attention
From-0-to-Research-Scientist-resources-guide
ahmedbahaaeldin
7,693étoiles+1in 24h
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
awesome-robotics
ahundt
1,525étoiles+1in 24h
A curated list of awesome links and software libraries that are useful for robots.
BloomBee
ai-decentralized
136étoiles+1in 24h
Decentralized LLMs fine-tuning and inference with offloading
- Tensor offloading — reduces per-node memory consumption so each peer can host more layers, shrinking the total number of network hops.
- Speculative decoding over internet — reduces communication frequency by sending multiple draft tokens per round-trip.
304étoiles+1in 24h
Master AI inference, AI agent harness systems, and hardware engineering — then design a physical AI chip. That is the goal.