Stars
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
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 mo…
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Docker image for ownCloud community edition
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
An evolving how-to guide for securing a Linux server.
📬 Easily and securely share files from the command line. A fully featured Firefox Send client.
machine learning with logical rules in Python
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
A curated list of awesome projects which use Machine Learning to generate synthetic content.
Low-code framework for building custom LLMs, neural networks, and other AI models
Lakka is a lightweight Linux distribution that transforms a small computer into a full blown game console.
A PyTorch implementation of the WaveGlow: A Flow-based Generative Network for Speech Synthesis
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Build your personal knowledge base with Trilium Notes
Implementation of Graph Auto-Encoders in TensorFlow
Keras implementation of Graph Convolutional Networks
Hyperparameter Experiments with TensorFlow and Keras
Use deep learning to generate and harmonize music in the style of Bach
Simple and easily configurable 3D FPS-game-like environments for reinforcement learning