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Apprentissage · GitHub

Explorez des ressources sélectionnées, tutoriels et parcours d’apprentissage.

Projets GitHub utiles

2,637 projets
243étoiles
vibe-hub-skill preview

在编程交流中识别专业术语,提供通俗解释和可追溯的术语链接,帮助准确表达需求。

ok

okpy

371étoiles
ok preview

ok.py supports programming projects by running tests, tracking progress, and assisting in debugging.

  • Best-effort maintenance of student backups that occur when ok is run.
  • Allow staff to comment on student composition of projects and assign grades.
ApprentissagePythonApache-2.0GitHub

awesome-dicom

open-dicom

413étoiles

A curated list of DICOM libraries, viewers, PACS servers, converters, anonymizers, datasets and learning resources.

BMTools

OpenBMB

2,769étoiles
BMTools preview

Tool Learning for Big Models, Open-Source Solutions of ChatGPT-Plugins

ApprentissagePythonApache-2.0GitHub

ToolBench

OpenBMB

5,770étoiles
ToolBench preview

[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.

ApprentissagePythonApache-2.0GitHub

OpenCircuits

OpenCircuits

406étoiles
OpenCircuits preview

A free, open source, online digital circuit/logic designer.

  • Create and design simple or complex circuits
  • Create a circuit and turn it into an IC for easy reuse
ApprentissageTypeScriptGPL-3.0GitHub

opencog

opencog

2,482étoiles
opencog preview

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

DI-engine

opendilab

3,649étoiles
DI-engine preview

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

ApprentissagePythonApache-2.0GitHub

PPOxFamily

opendilab

2,626étoiles
PPOxFamily preview

PPO x Family DRL Tutorial Course(决策智能入门级公开课:8节课帮你盘清算法理论,理顺代码逻辑,玩转决策AI应用实践 )

ApprentissagePythonApache-2.0GitHub
1,388étoiles
Birds-eye-view-Perception preview

[IEEE T-PAMI 2023] Awesome BEV perception research and cookbook for all level audience in autonomous diriving

  • Up-to-date Literature Survey for BEV Perception We summarize important methods in recent years about BEV perception, including different modalities (camera, LIDAR, Fusion) and tasks (Detection, Segmentation, Occupancy). More details of the survey paper list can be found here.
  • SOTA BEV Knowledge Distillation Algorithms We include important follow-up works of BEVFormer/BEVDepth/SOLOFusion in the perspective of knowledge distillation(VCD, GAPretrain, FocalDistiller). More details of each paper can be found in each README.md file under here.
ApprentissagePythonApache-2.0GitHub

UniVLA

OpenDriveLab

1,145étoiles
UniVLA preview

[RSS 2025] Learning to Act Anywhere with Task-centric Latent Actions

  • A recipe towards generalist policy by planning in a unified, embodiment-agnostic action space.
  • A novel approach for extracting task-centric latent actions from cross-embodiment videos.
ApprentissagePythonApache-2.0GitHub