StarCraft II Learning Environment
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Updated
Jul 23, 2024 - Python
StarCraft II Learning Environment
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
StarCraft II - pysc2 Deep Reinforcement Learning Examples
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab
Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network
深度学习/人工智能/机器学习资料汇总(Deep Learning/Artificial Intelligent/Machine Learning) 持续更新……
SkyCode是一个多语言开源编程大模型,采用GPT3模型结构,支持Java, JavaScript, C, C++, Python, Go, shell等多种主流编程语言,并能理解中文注释。模型可以对代码进行补全,拥有强大解题能力,使您从编程中解放出来,专心于解决更重要的问题。| SkyCode is an open source programming model, which adopts the GPT3 model structure. It supports Java, JavaScript, C, C++, Python, Go, shell and other languages, and can understand Chinese comments.
Spriteworld: a flexible, configurable python-based reinforcement learning environment
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/
Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals. (This repository has single purpose of education only)
Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"
Multi-object image datasets with ground-truth segmentation masks and generative factors.
An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.
OpenAI Gym wrapper for the DeepMind Control Suite
This's an implementation of deepmind Visual Interaction Networks paper using pytorch
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".
A curated list of FREE courses available online from top universities of the world on CS-DS-ML!
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