Simplenote for Web, Windows, and Linux

fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

LLM inference in C/C++

Interact with your documents using the power of GPT, 100% privately, no data leaks

Reverse engineered API of Microsoft's Bing Chat AI

Comfortable 3-finger and 4-finger swipe gesture using Xdotool in native C++

A proof-of-concept jupyter extension which converts english queries into relevant python code

Client for PPP+TLS VPN tunnel services

Google Drive client with support for new Drive REST API and partial sync

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Console-based GLSL Sandbox for 2D/3D shaders

An open access book on scientific visualization using python and matplotlib

Mobile Security Framework (MobSF) is an automated, all-in-one mobile application (Android/iOS/Windows) pen-testing, malware analysis and security assessment framework capable of performing static a…

Automated Machine Learning with scikit-learn

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Models and examples built with TensorFlow

Avatars for Zoom, Skype and other video-conferencing apps.

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

Streamlit — A faster way to build and share data apps.

TensorFlow code and pre-trained models for BERT

Background Matting: The World is Your Green Screen

All Algorithms implemented in Python

Notebooks for learning deep learning

Cybernetically enhanced web apps

Create animated bar chart races in Python with matplotlib

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)