Stars
A treasure chest for visual classification and recognition powered by PaddlePaddle
Curating a list of AutoML-related research, tools, projects and other resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
This repository contains implementations and illustrative code to accompany DeepMind publications
Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition
Deep Reinforcement Learning with Python, Second Edition, published by Packt
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
All Algorithms implemented in Python
Modularized Implementation of Deep RL Algorithms in PyTorch
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Python Implementation of Reinforcement Learning: An Introduction
A library of reinforcement learning components and agents
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
PyTorch implementations of deep reinforcement learning algorithms and environments
Models and examples built with TensorFlow
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
A collection of various deep learning architectures, models, and tips
Paper list of multi-agent reinforcement learning (MARL)