Stars
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
An opinionated list of awesome Python frameworks, libraries, software and resources.
A course in reinforcement learning in the wild
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
書籍「つくりながら学ぶ！深層強化学習」のサポートリポジトリです
Code release for "UniVS: Unified and Universal Video Segmentation with Prompts as Queries" (CVPR2024)
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 …
UnityとROS 2を組み合わせたロボット開発のための入門用教材です
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
[ICRA2024] Stein Variational Guided Model Predictive Path Integral Control: Proposal and Experiments with Fast Maneuvering Vehicles
Unity Performance Tuning knowledge book
A toolkit for developing and comparing reinforcement learning algorithms.
『ゼロから作る Deep Learning ❹』(O'Reilly Japan, 2022)
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
machine learning system examples
Pythonで学ぶ強化学習 -入門から実践まで- サンプルコード
データサイエンス100本ノック（構造化データ加工編）
Pretrained models for TensorFlow.js