NewGod

dnote

A simple command line notebook for programmers

Project_LemonLime

为了 OI 比赛而生的基于 Lemon + LemonPlus 的轻量评测系统 | 三大桌面系统支持

workspace-config

Floz's workspace config

srsLTE

Open source SDR LTE software suite

ssap

graph-edit-distance

Batmobile

pytorch_captcha_rec

pytorch_cifar100

python_tetris2

A simple python program to play the tetris2 in botzone

JCR

An Android Chat Room

translations

🐼 Chinese translations for classic software development resources

c_interpreter

A C language interpreter.

sigmod-2018

Code for the SIGMOD 2018 programming contest. Finished at 2nd place.

libpku

贵校课程资料民间整理

Fake_HSR

Project2019Spring

Main project, Compiler design PKU 2019 Spring

megvii-pku-dl-course

Homepage for the joint course of Megvii Inc. and Peking University on Deep Learning.

ICCV2019-LearningToPaint

ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning

PDSL

physical computing domain specific language

mit-6.828-2014

MIT 6.828 - Operating System Engineering - Fall 2014

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

Adam-experiments

Experiments with Adam/AdamW/amsgrad

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

deoplete.nvim

:stars: Dark powered asynchronous completion framework for neovim/Vim8

vision

Datasets, Transforms and Models specific to Computer Vision

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

ripenet

ENAS-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.