ranzuh's Stars
anthropics/anthropic-quickstarts
A collection of projects designed to help developers quickly get started with building deployable applications using the Anthropic API
anthropics/courses
Anthropic's educational courses
anthropics/anthropic-cookbook
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
OpenInterpreter/open-interpreter
A natural language interface for computers
cline/cline
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
AnswerDotAI/fasthtml-example
Example fasthtml applications demonstrating a range of web programming techniques
AnswerDotAI/claudette
Claudette is Claude's friend
pytorch-labs/gpt-fast
Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.
fastai/fastai
The fastai deep learning library
shainisan/real-life-chess-vision
A computer vision application that identifies pieces on a chess board from real-life photos.
AnswerDotAI/fasthtml
The fastest way to create an HTML app
sgrvinod/chess-transformers
Teaching transformers to play chess
nat/openplayground
An LLM playground you can run on your laptop
marcelscruz/public-apis
A collaborative list of public APIs for developers
NVIDIA-AI-IOT/husky_demo
Husky Simulation and Hardware In the Loop simulation on Isaac SIM with Isaac ROS
LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
Solutions of Reinforcement Learning, An Introduction
scascin0/alphazero
A working AlphaZero implementation that's simple enough to be able to understand what's going on at a quick glance, without sacrificing too much.
Toni-SM/skrl
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab
proroklab/rl_multi_agent_passage
Repository containing RL environment, model and trainer for GNN demo for ICRA 2022 paper "A Framework for Real-World Multi-Robot Systems\\Running Decentralized GNN-Based Policies"
proroklab/ros2_multi_agent_passage
proroklab/rllib_differentiable_comms
This is a minimal example to demonstrate how multi-agent reinforcement learning with differentiable communication channels and centralized critics can be realized in RLLib. This example serves as a reference implementation and starting point for making RLLib more compatible with such architectures.
proroklab/VectorizedMultiAgentSimulator
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
MIMUW-RL/space-gym
Challenging reinforcement learning environments with locomotion tasks in space
utiasDSL/gym-pybullet-drones
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
asdfjkl/neural_network_chess
Free Book about Deep-Learning approaches for Chess (like AlphaZero, Leela Chess Zero and Stockfish NNUE)
Neuroosi/A2C-PPO
doctest/doctest
The fastest feature-rich C++11/14/17/20/23 single-header testing framework
Neuroosi/VPG-PYTORCH
DLR-RM/rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
DLR-RM/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.