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📚 Freely available programming books
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
The Big List of Naughty Strings is a list of strings which have a high probability of causing issues when used as user-input data.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.
Python Backtesting library for trading strategies
Magenta: Music and Art Generation with Machine Intelligence
StyleGAN - Official TensorFlow Implementation
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
Learning to See in the Dark. CVPR 2018
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
PRAW, an acronym for "Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.
Javascript formatting for Sublime Text 2 & 3
Learning Latent Dynamics for Planning from Pixels
A Pytorch implementation of Onsets and Frames (Hawthorne 2018)
A serializable note sequence representation and utilities.
Creates HTML emails with maximal CSS compatibility by inlining external CSS files.
using parallel computation to optimize the creation of network graph patterns for wikipedia