machine-learning

A high performance anime upscaler

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

Keras Temporal Convolutional Network. Supports Python and R.

Elyra extends JupyterLab with an AI centric approach.

Official front-end implementation of ComfyUI

Build LLM-powered applications in Ruby

A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

A lightweight 3D Morphable Face Model library in modern C++

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Physical Symbolic Optimization

Web labeling tool for bitmap images and point clouds

Using python and scikit-learn to make stock predictions

Training PyTorch models with differential privacy

Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch

A Julia machine learning framework

Feathr – A scalable, unified data and AI engineering platform for enterprise

ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy

Deep learning in Rust, with shape checked tensors and neural networks

TinyML AI inference library

BERT score for text generation

Notebooks about Bayesian methods for machine learning

Gaussian processes in TensorFlow

The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

Ergonomic machine learning for everyone.

fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.

A timeline of the latest AI models for audio generation, starting in 2023!

💫 Models for the spaCy Natural Language Processing (NLP) library