Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

A Python package to assess and improve fairness of machine learning models.

《Hello 算法》一本动画图解、能运行、可提问的数据结构与算法入门书

Machine learning, in numpy

Locally run an Assistant-Tuned Chat-Style LLM

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

The agent engineering platform.

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

Phishing Domains, urls websites and threats database. We use the PyFunceble testing tool to validate the status of all known Phishing domains and provide stats to reveal how many unique domains use…

100 Days of ML Coding

A simple method to perform semi-supervised learning with limited data.

This curated list contains python packages for time series analysis

Accompanying code for "Deep Reinforcement Learning that Matters"

A toolkit for developing and comparing reinforcement learning algorithms.

Learning generative models with Sinkhorn Loss

Wasserstein Auto-Encoders

DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

starter from "How to Train a GAN?" at NIPS2016

pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"

Curated list of tools and resources related to the use of machine learning for cyber security

Data and code for Kang et al., NAACL 2018's paper titled "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications"

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Machine Learning for Cyber Security

A toolkit for making real world machine learning and data analysis applications in C++

Open Machine Learning Compiler Framework