Ashitemaru

Ashitemaru's Stars

• type-challenges/type-challenges

  Collection of TypeScript type challenges with online judge

  Language:TypeScript42.5k15733.8k4.6k

• NervJS/taro

  开放式跨端跨框架解决方案，支持使用 React/Vue/Nerv 等框架来开发微信/京东/百度/支付宝/字节跳动/ QQ 小程序/H5/React Native 等应用。 https://taro.zone/

  Language:TypeScript35.3k69111.3k4.8k

• ShangtongZhang/reinforcement-learning-an-introduction

  Python Implementation of Reinforcement Learning: An Introduction

  Language:Python13.5k556994.8k

• aemkei/jsfuck

  Write any JavaScript with 6 Characters: []()!+

  Language:JavaScript8.1k13154672

• Keldos-Li/typora-latex-theme

  将Typora伪装成LaTeX的中文样式主题，本科生轻量级课程论文撰写的好帮手。This is a theme disguising Typora into Chinese LaTeX style.

  Language:SCSS4.7k1483304

• tuna/thuthesis

  LaTeX Thesis Template for Tsinghua University

  Language:TeX4.5k886691.1k

• anmol098/waka-readme-stats

  This GitHub action helps to add cool dev metrics to your github profile Readme

  Language:Python3.3k10277534

• nikhilbarhate99/PPO-PyTorch

  Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

  Language:Python1.6k961341

• Equim-chan/Mortal

  🚀🀄️ A fast and strong AI for riichi mahjong, powered by Rust and deep reinforcement learning.

  Language:Rust9452635120

• sfujim/BCQ

  Author's PyTorch implementation of BCQ for continuous and discrete actions

  Language:Python588714140

• CMU-HKN/CMU-ECE-CS-Guide

  How to survive CMU as an ECE/CS major

  478136121

• LingFeng-bbben/MajdataView

  Next-generation Simai: Note disgner for maimai. The unity viewer part of the Majdata.

  Language:C#311613438

• park-project/park

  Language:Python217132255

• iclavera/learning_to_adapt

  Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning

  Language:Python2067649

• microsoft/P.808

  This is an open-source implementation of the ITU P.808 standard for "Subjective evaluation of speech quality with a crowdsourcing approach" (see https://www.itu.int/rec/T-REC-P.808/en). It uses Amazon Mechanical Turk as the crowdsourcing platform. It includes implementations for Absolute Category Rating (ACR), Degradation Category Rating (DCR), and Comparison Category Rating (CCR).

  Language:HTML204212658

• godka/Pensieve-PPO

  The simplest implementation of Pensieve (SIGCOMM' 17) via state-of-the-art RL algorithms, including PPO, DQN, SAC, and support for both TensorFlow and PyTorch.

  Language:DIGITAL Command Language6581731

• auto-flow/tmall-repeat

  天猫复购预测 rank7 源码

  Language:Python31118

• godka/oboe-reproduce

  Unofficial Implementation of Oboe (SIGCOMM'18).

  Language:Python29212

• godka/pensieve-5G

  Pensieve for 5G datasets.

  Language:Python13205

• comradez/rust-SPPM

  清华大学2021春季学期图形学真实感渲染大作业的一个rust实现

  Language:Rust11300

• THUSE-Course/course-index

  Language:HTML103

• Yongqi-Zhuo/yqlang

  yqlang, a scripting language for yqbot

  Language:Kotlin7200

• Ashitemaru/LSE-Frontend

  The frontend of LSE, the HW of Search Engine(THU, 2022 Spring).

  Language:TypeScript4300

• Ashitemaru/Pensieve-torch

  A PyTorch implementation of Pensieve.

  Language:DIGITAL Command Language3200

• StanfordSNR/pensieve

  Neural Adaptive Video Streaming with Pensieve (SIGCOMM '17)

  Language:JavaScript3603

• Ashitemaru/Adaptive-ABR

  An environment adaptive ABR algorithm, (maybe) as the graduation project of Ashitemaru. Based on *Learning to Adapt in Dynamic, Real-World Environments through Meta Reinforcement Learning*.

  Language:Python1200

• Ashitemaru/RL-torch

  Demo codes of RL algorithms implemented with PyTorch.

  Language:Python120

• Btlmd/se_checker

  Check your repo to see if it matches the your development rule

  Language:Python110

• Numendacil/Graphics

  Language:C++1100

• pouyahmdn/causalsim_rl_deploy

  Language:Python1