SchattenGenie

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

black

The uncompromising Python code formatter

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

google-research

Google Research

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

macOS-Security-and-Privacy-Guide

Guide to securing and improving privacy on macOS

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

awesome-readme

A curated list of awesome READMEs

abseil-cpp

Abseil Common Libraries (C++)

xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.

FasterTransformer

Transformer related optimization, including BERT, GPT

privacy.sexy

Open-source tool to enforce privacy & security best-practices on Windows, macOS and Linux, because privacy is sexy

zenml

ZenML 🙏: The bridge between ML and Ops. https://zenml.io.

awesome-apache-airflow

Curated list of resources about Apache Airflow

deepchecks

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

best_AI_papers_2022

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

Crypto-OpSec-SelfGuard-RoadMap

Here we collect and discuss the best DeFi, Blockchain and crypto-related OpSec researches and data terminals - contributions are welcome.

torchdyn

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

cnpy

library to read/write .npy and .npz files in C/C++

efficient-dl-systems

Efficient Deep Learning Systems course materials (HSE, YSDA)

tiny-diffusion

A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.

distrax

tinygp

The tiniest of Gaussian Process libraries

MakePytorchPlusPlus

How and why you want to make your pytorch CUDA/CPP extension with a Makefile

kaggle_moa_winner_hungry_for_gold

Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.

g-mlp-gpt

GPT, but made only out of MLPs

Machine-learning-pipeline

Example machine learning pipeline with MLflow and Hydra

streamhist

Streaming approximate histograms with Python.

gen_bias_gain

A Convenient Generalization of Schlick's Bias and Gain Functions

RSMI-NE

A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.