VS Code in the browser

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

PyTorch Tutorial for Deep Learning Researchers

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Seamless operability between C++11 and Python

Python Implementation of Reinforcement Learning: An Introduction

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams

Pytorch implementation of convolutional neural network visualization techniques

(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

Program to decode radio transmissions from devices on the ISM bands (and other frequencies)

A course in reinforcement learning in the wild

A scikit-learn compatible neural network library that wraps PyTorch

A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

C++ tensors with broadcasting and lazy computing

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

An educational AI robot based on NVIDIA Jetson Nano.

A simple Jekyll theme for words and pictures.

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

Rainbow: Combining Improvements in Deep Reinforcement Learning

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

A starter agent that can solve a number of universe environments.

Computational framework for reinforcement learning in traffic control

Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

Source code for javascript simulation of website