Stars
SelfSplat: Pose-Free and 3D Prior-Free Generalizable 3D Gaussian Splatting
Official Implementation of paper "MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion"
JAX implementation of the T5 model: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
OpenTAD is an open-source temporal action detection (TAD) toolbox based on PyTorch.
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
[3DV'25] 3D Reconstruction with Spatial Memory
[NeurIPS 2024 Spotlight] Implementation of the paper "3D Gaussian Splatting as Markov Chain Monte Carlo"
Code of the paper "LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning" & LocoMuJoCo Baselines
High-resolution models for human tasks.
Lottery Ticket Adaptation
Schedule-Free Optimization in PyTorch
Can large language models provide useful feedback on research papers? A large-scale empirical analysis.
A model predictive controller for quadruped robots based on the single rigid body model and written in python. Gradient-based (acados) or Sampling-based (jax).
Clean single-file implementation of offline RL algorithms in JAX
Contains JAX implementation of algorithms for inverse reinforcement learning
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
Seamlessly integrate state-of-the-art transformer models into robotics stacks
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Official Implementation of CVPR24 highligt paper: Matching Anything by Segmenting Anything
Python tools for analysing body movements across space and time
Code of the Paper "Time-Efficient Reinforcement Learning with Stochastic Stateful Policies"
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024