hunglethanh9 Goto Github PK

clean-go-article

The motivation behind writing this document, is to create a resource (and eventually a reference) for the Go community, which will help developers write cleaner code. This benefits every one of us. Whether we are writing code by ourselves, or writing code in larger teams. Establishing good paradigms for writing clean code and ensuring that this is available for everyone, will help prevent many meaningless hours on trying to understand and parse others (and our own) code.

clustergcn

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

cnn-from-scratch

A scratch implementation of Convolutional Neural Network in Python using numpy only and validated over CIFAR-10 & MNIST Dataset

coc.nvim

Intellisense engine for vim8 & neovim, full language server protocol support as VSCode

code-problems

Common code and interview problems solved in multiple languages

codepilot

The code search service to rule them all and in a dark theme, bind them.

coding_problems

Assorted coding problems and solutions

cognitive_psychology

Interested in relationships between consciousness and learning, and language learning and data science.

coinboot

A framework for diskless computing

colorful-image-colorization

A deep learning approach to colorizing images

comet-commonsense

Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction"

companies-in-the-bay-area

🌁 Open source list of 600+ companies that have offices in the San Francisco Bay Area

construct-js

🛠️A library for creating byte level data structures.

container-native-spring-postgresql

conv-sv

The Singular Values of Convolutional Layers

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cool-fashion-papers

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

coqgym

A Learning Environment for Theorem Proving with the Coq proof assistant

cortex

Machine learning infrastructure for developers

cost-model

Cross-cloud cost allocation models for workloads running on Kubernetes

courseraml

cpp-taskflow

Fast C++ Parallel Programming with Task Dependency Graphs

cracking-the-data-science-interview

Resources for Oreilly's "Cracking the Data Science Interview" video series.

create-react-icons

a CLI for generating your own react icon components from svg files

crna-recipe

Step-by-step guide to bootstrap a React Native app from scratch

crocs

Write regex using pure python class/function syntax and test it better. (Regex for humans).

cs-interview-knowledge-map

Build the best interview map. The current content includes JS, network, browser related, performance optimization, security, framework, Git, data structure, algorithm, etc.

cs231n

Working through CS231n: Convolutional Neural Networks for Visual Recognition

cs231n-python-numpy-tutorial

Teaching materials for the Convolutional Neural Networks for Visual Recognition (http://cs231n.github.io/python-numpy-tutorial/) classes at Stanford

csdn_downloader

use the website(http://www.juming.com/Csdn/) to free downloader file from CSDN, just package to a pyQt application.