Stars
Official implementation of paper "Data-Agnostic Robotic Long-Horizon Manipulation with Vision-Language-Conditioned Closed-Loop Feedback"
Official implementation of Crossing the Human-Robot Embodiment Gap with Sim-to-Real RL using One Human Demonstration
Convert images of LaTex math equations into LaTex code.
Code for "Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions"
Code for SDS: Quadrupedal Skill Synthesis from Single Video Demonstration
Unified framework for robot learning built on NVIDIA Isaac Sim
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
[ACL 2025] An official pytorch implement of the paper: Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement
[ICRA 2023] Adaptive and Explainable Deployment of Navigation Skills via Hierarchical Deep Reinforcement Learning
VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.
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Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 500+ LLMs (Qwen3, Qwen3-MoE, Llama4, InternLM3, DeepSeek-R1, ...) and 200+ MLLMs (Qwen2.5-VL, Qwen2.5-Omni, Qwen2-Audio, Ovis2, InternVL3, Llava, GLM4…
Finetune Qwen3, Llama 4, TTS, DeepSeek-R1 & Gemma 3 LLMs 2x faster with 70% less memory! 🦥
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and support state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorR…
A goal-driven autonomous exploration through deep reinforcement learning (ICRA 2022) system that combines reactive and planned robot navigation in unknown environments
[ICLR 2023] FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation
A generative world for general-purpose robotics & embodied AI learning.
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
Behavior Trees Library in C++. Batteries included.
Quasi-static control of the centroid of quadruped robot