Raffaelbdl

Raffaelbdl's Stars

• guillaumechereau/goxel

  Goxel: Free and Open Source 3D Voxel Editor

  Language:C++2.7k219

• godotengine/godot

  Godot Engine – Multi-platform 2D and 3D game engine

  Language:C++87.2k19.6k

• LeoClose/Textify

  An easy to use, lightweight and easy to set up Speech2Text solution using HuggingFace's API and OpenAI's Whisper library for free! Only for small projects (prototypes, game jam projects etc.)

  Language:GDScript2

• google-deepmind/dm_pix

  PIX is an image processing library in JAX, for JAX.

  Language:Python37521

• luchris429/purejaxrl

  Really Fast End-to-End Jax RL Implementations

  Language:Python63954

• google/brax

  Massively parallel rigidbody physics simulation on accelerator hardware.

  Language:Jupyter Notebook2.2k237

• EdanToledo/Stoix

  🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL

  Language:Python17413

• alvarobartt/safejax

  Serialize JAX, Flax, Haiku, or Objax model params with 🤗`safetensors`

  Language:Python414

• dora-rs/dora

  DORA (Dataflow-Oriented Robotic Application) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed dataflow capabilities. Applications are modeled as directed graphs, also referred to as pipelines.

  Language:Rust1.4k71

• orgoro/style-vae

  Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction

  Language:Python304

• ilmoi/MML-Book

  Code / solutions for Mathematics for Machine Learning (MML Book)

  Language:Jupyter Notebook932160

• rll-research/url_benchmark

  Language:Python32650

• alirezakazemipour/DIAYN-PyTorch

  Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.

  Language:Python5624

• ikostrikov/jaxrl

  JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

  Language:Jupyter Notebook60062

• kennyderek/adap

  Adaptable Agent Populations via a Generative Model of Policies

  Language:Python13

• Farama-Foundation/Minigrid

  Simple and easily configurable grid world environments for reinforcement learning

  Language:Python2.1k597

• zuoxingdong/mazelab

  A customizable framework to create maze and gridworld environments

  Language:Python25859

• IllDepence/SVG_pitch

  Japanese pitch accent annotations in simple SVG.

  Language:HTML212

• dfm/extending-jax

  Extending JAX with custom C++ and CUDA code

  Language:Python36421

• facebookresearch/motif

  Intrinsic Motivation from Artificial Intelligence Feedback

  Language:Python11511

• MineDojo/MineDojo

  Building Open-Ended Embodied Agents with Internet-Scale Knowledge

  Language:Java1.7k152

• MineDojo/MineCLIP

  Foundation Model for MineDojo

  Language:Python22530

• google/ml_collections

  ML Collections is a library of Python Collections designed for ML use cases.

  Language:Python86739

• valentingol/cliconfig

  Merging yaml config and set parameters with CLI. Use config processing for more advanced manipulations.

  Language:Python8

• google/CommonLoopUtils

  CLU lets you write beautiful training loops in JAX.

  Language:Jupyter Notebook30830

• instadeepai/flashbax

  ⚡ Flashbax: Accelerated Replay Buffers in JAX

  Language:Python1847

• FLAIROx/JaxMARL

  Multi-Agent Reinforcement Learning with JAX

  Language:Python36458

• haotian-liu/LLaVA

  [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

  Language:Python18.4k2k

• X2FD/LVIS-INSTRUCT4V

  126

• eublefar/LLAMASharpUnityDemo

  This project serves as a simple example on how to integrate the LLAMASharp library into your Unity project.

  Language:ShaderLab413