- Victoria, Australia
- https://linhlpv.github.io/
Highlights
- Pro
Stars
This is a repository to collect training-free algorithms
Causal Discovery via Bayesian Optimization (DrBO) - ICLR 2025
This is a simple demonstration of more advanced, agentic patterns built on top of the Realtime API.
An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
A minimal yet unstoppable blueprint for multi-agent AI—anchored by the rare, far-reaching “Multi-Agent AI DAO” (2017 Prior Art)—empowering a new wave of superintelligent on-chain Agents.
Cosmos is a world model development platform that consists of world foundation models, tokenizers and video processing pipeline to accelerate the development of Physical AI at Robotics & AV labs. C…
[ICML 2024, Spotlight] EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data
DeepSeek Coder: Let the Code Write Itself
Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction (ICML 2023)
Author's PyTorch implementation of BCQ for continuous and discrete actions
RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation
Open Source Continuous File Synchronization
Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.
A generative world for general-purpose robotics & embodied AI learning.
A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
OpenAI Gym Wrapper for DeepMind Control Suite
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
Official implementation of the paper: "FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models"
Modularized Implementation of Deep RL Algorithms in PyTorch
Related papers for reinforcement learning, including classic papers and latest papers in top conferences
Official Repository for ICML 2024 Paper "OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport"