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

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

StarCraft II Learning Environment

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.

StarCraft II Client - protocol definitions used to communicate with StarCraft II.

Official repository of the xLSTM.

Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

torchview: visualize pytorch models

Repository for most of the code from my YouTube channel

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"

Clean baseline implementation of PPO using an episodic TransformerXL memory

Starter Kit for the Unity Obstacle Tower challenge

Challenging Memory-based Deep Reinforcement Learning Agents

[WACV 2023] Information and scripts for the CropAndWeed Dataset

Galactic Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second

Implementation of Hierarchical Transformer Memory (HTM) for Pytorch

Recurrent continuous reinforcement learning algorithms implemented in Pytorch.

Deep Reinforcement Learning Framework done with PyTorch

Implementation of the Gated Transformer XL with PPO to create a Starcraft 2 A.I