Stars
Massively parallel training of machine-learning based weather and climate models
Implementation of the Aurora model for Earth system forecasting
Production-tested AI infrastructure tools for efficient AGI development and community-driven innovation
world modeling challenge for humanoid robots
Hybrid ML + physics model of the Earth's atmosphere
Probabilistic time series modeling in Python
Large World Model -- Modeling Text and Video with Millions Context
Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
A library for scientific machine learning and physics-informed learning
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
An Open-Ended Embodied Agent with Large Language Models
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
A modular RL library to fine-tune language models to human preferences
Train transformer language models with reinforcement learning.
Hackable and optimized Transformers building blocks, supporting a composable construction.
Collect awesome best papers from top AI conferences.
The open-source solutions of FourCastNet and GraphCast