Popular GitHub Repositories for Gaussian Bayesian Networks

An Open Source Machine Learning Framework for Everyone

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Deep Learning for humans

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

Deepfakes Software For All

? Industrial-strength Natural Language Processing (NLP) in Python

PyTorch Tutorial for Deep Learning Researchers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

The most cited deep learning papers

A curated list of awesome Deep Learning tutorials, projects and communities.

Graph Neural Network Library for PyTorch

GUI for a Vocal Remover that uses Deep Neural Networks.

Open standard for machine learning interoperability

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

DeepFaceLab is the leading software for creating deepfakes.

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator