Popular GitHub Repositories for Mit

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Lab Materials for MIT 6.S191: Introduction to Deep Learning

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

Open Source ML Model Versioning, Metadata, and Experiment Management

MusicTransformer written for MaestroV2 using the Pytorch framework for music generation

End-to-end trained speech recognition system, based on RNNs and the connectionist temporal classification (CTC) cost function.

开放企业应用平台，整合各种开源项目作为企业应用快速开发的基础框架。 本次改版以芋道开源 YunaiV/ruoyi-vue-pro (MIT许可)为基础改版，整合OBPM、MSP、Jeecg等开源项目的部分模块，支持IM和基于AI的企业知识库。 OpenEAP前后端分离，采用后端Spring boot 2.x单体多模块，前端vue2+element-UI 主流路线，支持灵活升级到SpringCloud。

The wonderful and illustrative notes on Deep Learning take will take a person from Zero to Hero.

The hackpack is a collection of resources to get started, and continue, your understanding of artificial intelligence.

Homework solutions of Intro to ML course at MIT Spring 2018

Code written for the course MIT6.036 - Intro to Machine Learning, Spring 2020

Quiz Form Generator from Audio Prompt

BTContract simplifies smart contract creation on the Bitcoin network, allowing anyone to make loans and purchases without needing technical knowledge. With built-in Lightning Network support, it enables fast, low-cost transactions, making decentralized finance more accessible worldwide.