gj0706's Stars
uidotdev/usehooks
A collection of modern, server-safe React hooks – from the ui.dev team
greatfrontend/awesome-front-end-system-design
Curated front end system design resources for interviews and learning
pankod/svelte-boilerplate
Svelte application boilerplate with Webpack, Babel, PostCSS, Sass, Fetch, Jest, .Env, EsLint.
catdad/canvas-confetti
🎉 performant confetti animation in the browser
WeAreAthlon/frontend-webpack-boilerplate
Simple starter webpack 5 project template supporting SASS/PostCSS, Babel ES7, browser syncing, code linting. Easy project setup having multiple features and developer friendly tools.
codrops/PageTransitions
A showcase collection of various page transition effects using CSS animations.
sadanandpai/javascript-code-challenges
A collection of JavaScript modern interview code challenges for beginners to experts
iawia002/lux
👾 Fast and simple video download library and CLI tool written in Go
rafaelpadilla/Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
luhuisicnu/The-Flask-Mega-Tutorial-zh
翻译自Miguel Grinberg的blog https://blog.miguelgrinberg.com 的2017年新版The Flask Mega-Tutorial教程
labuladong/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
myaooo/RNNVis
A visualization tool for understanding and debugging RNNs
oxford-cs-deepnlp-2017/lectures
Oxford Deep NLP 2017 course
jcjohnson/torch-rnn
Efficient, reusable RNNs and LSTMs for torch
karpathy/char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
echen/lstm-explorer
Web app for exploring LSTMs.
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
AllenDowney/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
HendrikStrobelt/LSTMVis
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
fredhohman/summit
🏔️ Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
KurochkinAlexey/IMV_LSTM
Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf
karpathy/convnetjs
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
tensorflow/playground
Play with neural networks!
NLP-LOVE/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
dipanjanS/practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
udacity/DSND_Term2
Contains files related to content and project of DSND Term 2
mitmedialab/vizml
Plotly dataset-visualization pairs, feature extraction scripts, and model training code for VizML (CHI 2019)
FavioVazquez/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
d3/d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada: