Code to reproduce experiements with the Inertial Bregman Proximal under Partial Smoothness

📚 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

Mathematical Programming in JAX

Input Convex Neural Networks

Fast iterative regularization by reusing data constraints: Numerical implementation of L1 minimization and Total variation

Easy Integer Programming

Optimization models using various solvers

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

算法竞赛模板库 by 灵茶山艾府 💭💡🎈

⛽️「算法通关手册」：超详细的「算法与数据结构」基础讲解教程，从零基础开始学习算法知识，850+ 道「LeetCode 题目」详细解析，200 道「大厂面试热门题目」。

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

Data-driven APIs for common optimization tasks

Gurobi modeling examples

Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

An elegant PyTorch deep reinforcement learning library.

Reinforcement Learning in PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

A toolkit for developing and comparing reinforcement learning algorithms.

Deep Reinforcement Learning

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…

PyTorch Tutorial for Deep Learning Researchers