Stars
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Unity C# reference source code.
An easy to use PyTorch to TensorRT converter
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO and designed for fine-tuning.
Segment Anything in High Quality [NeurIPS 2023]
StarCraft II Client - protocol definitions used to communicate with StarCraft II.
Examples of how to create colorful, annotated equations in Latex using Tikz.
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
A small-scale cooperative game sample built on the new, Unity networking framework to teach developers about creating a similar multiplayer game.
Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
Repository for most of the code from my YouTube channel
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.
Obstacle Tower Environment
A proxy server for multiple ollama instances with Key security
A simple, easy, customizable Gymnasium environment for trading.
Code for the paper "Phasic Policy Gradient"
A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)
Clean baseline implementation of PPO using an episodic TransformerXL memory
Baseline implementation of recurrent PPO using truncated BPTT