Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
47,133 repositories indexed
385–408 of 1,651 · Most stars
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Translated:zap: Machine Learning in Action (Python3): kNN, decision tree, Bayes, logistic regression, SVM, linear regression, tree regression
The Concise TypeScript Book: A Concise Guide to Effective Development in TypeScript. Free and Open Source.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
A minimal, responsive, and feature-rich Jekyll theme for technical writing.
A React component for playing a variety of URLs, including file paths, YouTube, Facebook, Twitch, SoundCloud, Streamable, Vimeo, Wistia and DailyMotion
Online Accounting Software
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Widgets manager for MacBook Touch Bar
Translated:octocat:The most comprehensive repository of front-end resources on GitHub (including front-end learning, development resources, job interviews, etc.)
TranslatedAV movie management system, avmoo, javbus, javlibrary crawler, online AV movie library, AV magnet link database, Japanese Adult Video Library, Adult Video Magnet Links - Japanese Adult Video Database
Implementation of Nougat Neural Optical Understanding for Academic Documents
PhotoMaker [CVPR 2024]
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
:octocat: Dark GitHub style with custom syntax themes for code, editors and notebooks
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Ansible for DevOps examples.
Custom Jupyter Notebook Themes
A conforming Objective-C WebSocket client library.
Automatic extraction of relevant features from time series:
An Application dashboard and launcher
Tasks, boards & notes for the command-line habitat
TensorFlow Tutorials with YouTube Videos
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.