whhsu2

whhsu2's Stars

• martinshkreli/models

  stock market models - have fun

  Language:HTML1.4k173

• chatgpt-prompts/ChatGPT-Midjourney-Prompt-Generator

  This turns ChatGPT into a prompt generating machine that acceps only predefined inputs and responds with only predefined outputs.

  46239

• JushBJJ/Mr.-Ranedeer-AI-Tutor

  A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.

  29.2k3.3k

• mckaywrigley/paul-graham-gpt

  RAG on Paul Graham's essays.

  Language:TypeScript2.6k383

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook97.4k15.8k

• hydradatabase/hydra

  Hydra: Column-oriented Postgres. Add scalable analytics to your project in minutes.

  Language:C2.9k78

• gdmarmerola/interactive-intro-rl

  Big Data's open seminars: An Interactive Introduction to Reinforcement Learning

  Language:Jupyter Notebook6320

• 3b1b/manim

  Animation engine for explanatory math videos

  Language:Python73.4k6.4k

• SMPyBandits/SMPyBandits

  🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on

  Language:Jupyter Notebook39258

• PeterL328/SlitherIO-AI

  Using Neural-evolution of Augmenting Topologies and OpenAI gym to train an AI to play SlitherIO

  Language:Python95

• rails/rails

  Ruby on Rails

  Language:Ruby56.3k21.7k

• h5bp/html5-boilerplate

  A professional front-end template for building fast, robust, and adaptable web apps or sites.

  Language:JavaScript56.7k12.3k

• twbs/bootstrap

  The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

  Language:JavaScript171k78.9k

• q8888620002/6.005-final-project-IM-system

  this is final project of MIT OCW 6.005

  Language:Java1

• q8888620002/6.006-OCW

  introduction to algorithm of MIT OCW

  Language:Python1

• q8888620002/6.005-abcplayer

  6.005 project1

  Language:Java2

• q8888620002/MIT-6.005

  homework

  Language:Java1

• q8888620002/nodebb-plugin-elasticsearch

  Elasticsearch as search engine for Nodebb , Chinese supported

  Language:JavaScript83

• q8888620002/MIThackathon

  this is repository for the incoming hackathon

  Language:Python11

• maxbbraun/trump2cash

  A stock trading bot powered by Trump tweets

  Language:Python6.3k864

• coreylynch/pyFM

  Factorization machines in python

  Language:Python924310

• srendle/libfm

  Library for factorization machines

  Language:C++1.5k414

• wnzhang/deep-ctr

  An attempt of training DNN models to predict ad click-through rate, implemented with Theano.

  Language:Python407174

• oxford-cs-deepnlp-2017/lectures

  Oxford Deep NLP 2017 course

  15.7k3.6k

• resume/resume.github.com

  Resumes generated using the GitHub informations

  Language:JavaScript62.1k1.4k

• bitcoin/bitcoin

  Bitcoin Core integration/staging tree

  Language:C++81k36.5k