Pinned Repositories
algorithms.js
Atwood's Law applied to CS101 - Classic algorithms and data structures implemented in JavaScript
angular-seed
Seed project for angular apps.
angularjs
angularjs官方教程(ng-book)源代码：anguarjs 1.5.7 source code 。(keywords:angular angularjs angularjs1.x angular1.x )
anime
JavaScript Animation Engine
Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
CTCFNet
Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
DCSS
PyTorch implementation of DCSS: Deep Clustering with Self-supervision using Pairwise Data Similarities
free-programming-books
:books: Freely available programming books
javascript2016's Repositories
javascript2016/free-programming-books
:books: Freely available programming books
javascript2016/anime
JavaScript Animation Engine
javascript2016/Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
javascript2016/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
javascript2016/CTCFNet
javascript2016/Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
javascript2016/DCSS
PyTorch implementation of DCSS: Deep Clustering with Self-supervision using Pairwise Data Similarities
javascript2016/Eloquent-JavaScript
The sources for the Eloquent JavaScript book
javascript2016/DXMC
The offical implementation of the paper entitled Dual-level Cross-modal Contrastive Clustering.
javascript2016/FoodSeg103-Benchmark-v1
MM'21 Main-Track paper
javascript2016/Front-End-Checklist
🗂 The perfect Front-End Checklist for modern websites and meticulous developers
javascript2016/ILearnMachineLearning.js
Thanks to this project I could combine my knowledge from two areas: machine learning and web development. The whole application is written in React using TypeScript and Redux, but the engine that drives it is TensorFlow.js - a modern library for training and deploying machine learning models.
javascript2016/jquery
jQuery JavaScript Library
javascript2016/jquery-mobile1
jQuery Mobile Framework
javascript2016/jslearningpath
learning with treehouse from year 2018
javascript2016/keras-yolo2
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
javascript2016/keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
javascript2016/keras-yolo3-1
Training and Detecting Objects with YOLO3
javascript2016/LearnPython
以撸代码的形式学习Python
javascript2016/LibraryForest
javascript2016/Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
javascript2016/models
Models and examples built with TensorFlow
javascript2016/my-learning-github
javascript2016/oh-my-zsh
A delightful community-driven (with 1,000+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
javascript2016/One-apple-a-day
每天多吃苹果，多敲代码
javascript2016/PaCaViT
PyTorch implementation of PaCa-ViT (CVPR'23)
javascript2016/Python
My Python Examples
javascript2016/semantic-segmentation
SOTA Semantic Segmentation Models in PyTorch
javascript2016/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
javascript2016/yolo-project
the yolo test folder