Skip to content

Entry

LeRobot

Appears in 6 awesome lists

Making AI for robotics more accessible with end-to-end learning. State-of-the-art approaches for imitation learning and reinforcement learning with pretrained models, datasets, and simulated environments. Apache 2.0 licensed.

Open github.comhuggingface/lerobot

Found in these lists

Awesome LLMOps

Section: Robotics Foundation Model · A central community library by Hugging Face for AI in robotics — end-to-end learning tools, data pipelines, and support for training/deploying VLA models.

ActiveScore 75

Awesome Open Source AI

Section: 7. Training & Fine-tuning Ecosystem · Making AI for robotics more accessible with end-to-end learning. State-of-the-art approaches for imitation learning and reinforcement learning with pretrained models, datasets, and simulated environments. Apache 2.0 licensed.

FreshScore 89

Awesome Production Machine Learning

Section: Industry Strength Robotics · LeRobot provides models, datasets, and tools for real-world robotics and imitation learning.

FreshScore 92

awesome-python

Section: Other · 🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

FreshScore 81

Awesome Robotics Project

Section: General · State-of-the-art AI for real-world robotics

SlowScore 65

Awesome Weekly Robotics

Section: Libraries and Frameworks · Developped by Hugging Face, LeRobot provides models, datasets and tools for real-world robotics in PyTorch. Licence: Apache 2.0.

ActiveScore 68

Colossal-AI

(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).

In 14 listsDetails

Ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io

In 13 listsDetails

FastChat

Open platform for training, serving, and evaluating large language model chatbots. Powers Chatbot Arena (lmarena.ai) serving 10M+ requests for 70+ LLMs. Includes training code for Vicuna, MT-Bench evaluation, and distributed multi-model serving with OpenAI-compatible APIs. Apache 2.0 licensed.

In 12 listsDetails

unsloth

Fine-tuning & Reinforcement Learning for LLMs. Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.

In 8 listsDetails

TRL

Train transformer language models with reinforcement learning.

In 8 listsDetails

PEFT

Parameter-Efficient Fine-Tuning (PEFT) methods enable efficient adaptation of pre-trained language models (PLMs) to various downstream applications without fine-tuning all the model's parameters.

In 7 listsDetails

Ludwig

Low-code framework for building custom LLMs and deep neural networks. Declarative YAML configuration for training state-of-the-art models with PEFT/LoRA, 4-bit quantization, distributed training via Hugging Face Accelerate, and native Kubernetes support. Linux Foundation AI project. Apache 2.0…

In 6 listsDetails

slime

LLM post-training framework for RL Scaling from THUDM. Supports SFT and RL training with multi-turn compilation feedback, powering projects like TritonForge for automated GPU kernel generation. Apache 2.0 licensed.

In 5 listsDetails