0xGimmy

LxgwWenkaiTC

The Traditional Chinese Edition of LXGW WenKai.

tailwind-nextjs-starter-blog

This is a Next.js, Tailwind CSS blogging starter template. Comes out of the box configured with the latest technologies to make technical writing a breeze. Easily configurable and customizable. Perfect as a replacement to existing Jekyll and Hugo individual blogs.

paper

The Topology paper

mnemonic-secret-sharing

developer-roadmap

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

ccxt

A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

binance-futures-connector-python

whisper

Robust Speech Recognition via Large-Scale Weak Supervision

paper

theoretical articles

dynamic-hedging

Options delta neutrality as a crypto native uncorrelated asset class

blockchain-development-guide

Devpill.me - A Public Good Blockchain Development Guide

HowToLiveLonger

程序员延寿指南 | A programmer's guide to live longer

playwright-python

Python version of the Playwright testing and automation library.

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

MLSTM-FCN

Multivariate LSTM Fully Convolutional Networks for Time Series Classification

qlib

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

FE-Study

勤奋蜂前端培训体系2.0

frontend-dev-bookmarks

Manually curated collection of resources for frontend web developers.

freeCodeCamp

freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.