Apprentissage automatique · GitHub

Explorez les outils pour entraîner, évaluer et exécuter des modèles, et comparez leur popularité.

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Projets GitHub utiles

7,586 projetsUpdated --

4057

fin-ml

tatsath

1,207étoiles

This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.

Apprentissage automatiqueJupyter NotebookGitHub

4058

stanford_alpaca

tatsu-lab

30,221étoiles

Code et documentation pour entraîner les modèles Alpaca de Stanford et générer les données.

Apprentissage automatiquePythonApache-2.0GitHub

4059

vehicle-detection

tatsuyah

1,147étoiles

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

Apprentissage automatiqueJupyter NotebookGitHub

4060

Uli

tattle-made

58étoiles

Software and Datasets for Mitigating Online Gender Based Violence in India

Apprentissage automatiqueElixirGPL-3.0GitHub

4061

AI-Toolkit-Easy-Install

Tavris1

544étoiles

One-click Portable Windows installation of 'AI-Toolkit by Ostris'

Apprentissage automatiqueBatchfileMITGitHub

4062

TeaLeaves

taylorsatula

46étoiles

End-to-end pipeline for seeing how LLMs actually process your prompts. Capture attention across every layer, render heatmaps and cooking curves, compare variants with evidence — not vibes.

Apprentissage automatiquePythonGitHub

4063

pytorch-distributed

tczhangzhi

1,654étoiles

A quickstart and benchmark for pytorch distributed training.

Apprentissage automatiquePythonMITGitHub

4064

DeepLearningImplementations

tdeboissiere

1,810étoiles

Implementation of recent Deep Learning papers

Apprentissage automatiquePythonMITGitHub

4065

eli5

TeamHG-Memex

2,859étoiles

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Apprentissage automatiqueJupyter NotebookMITGitHub

4066

Dépôt créé pour aider les débutants en apprentissage automatique ainsi que les personnes qui préparent un groupe d’étude. (Ce dépôt est destiné à aider les personnes intéressées par l’apprentissage automatique.)

Apprentissage automatiqueJupyter NotebookGitHub

4067

TeleFuser

Tele-AI

36étoiles

High-performance runtime for real-time multimodal generation and world models—streaming inference, stateful sessions, and distributed GPU execution.

one-shot image generation
offline video generation

Apprentissage automatiquePythonApache-2.0GitHub

4068

FeatherCNN

Tencent

1,229étoiles

FeatherCNN is a high performance inference engine for convolutional neural networks.

Apprentissage automatiqueC++GitHub

4069

ncnn

Tencent

24,050étoiles

ncnn est un framework d’inférence de réseaux neuronaux haute performance optimisé pour les plateformes mobiles.

No third-party runtime dependencies and no BLAS / NNPACK requirement.
Pure C++ implementation with C API and Python binding.

Apprentissage automatiqueC++GitHub

4070

PatrickStar

Tencent

772étoiles

PatrickStar enables Larger, Faster, Greener Pretrained Models for NLP and democratizes AI for everyone.

Apprentissage automatiquePythonBSD-3-ClauseGitHub

4071

PocketFlow

Tencent

2,913étoiles

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

Apprentissage automatiquePythonGitHub

4072

tencent-ml-images

Tencent

3,065étoiles

Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet

Apprentissage automatiquePythonGitHub

4073

TencentPretrain

Tencent

1,096étoiles

Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo

Reproducibility TencentPretrain has been tested on many datasets and should match the performances of the original pre-training model implementations such as BERT, GPT-2, ELMo, T5, CLIP.
Model modularity TencentPretrain is divided into the following parts: embedding, encoder, target embedding (optional), decoder (optional), and target. Ample modules are implemented in each part. Clear and robust interface allows users to combine modules to construct pre-training models with as few restrictions as possible.

Apprentissage automatiquePythonGitHub

4074

TNN

Tencent

4,664étoiles

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

Apprentissage automatiqueC++GitHub

4075

HFGI

Tengfei-Wang

474étoiles

CVPR 2022 HFGI: High-Fidelity GAN Inversion for Image Attribute Editing

Apprentissage automatiqueJupyter NotebookGitHub

4076

TensorAeroSpace

65étoiles

PyTorch + Gymnasium framework for aerospace control. Deep RL (SAC, PPO, DDPG, DQN, IHDP, ET-DHP) and adaptive controllers (AIDI, MPC, iADP) on nonlinear F-16/B747/UAV/satellite sims. Includes in-flight damage modeling, real-time 3D flight viewer, TensorBoard/WandB, Optuna. EN/RU docs.

Apprentissage automatiqueJupyter NotebookMITGitHub

4077