Images to inference with no labeling (use foundation models to train supervised models).
🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai
Single-cell analysis in Python. Scales to >100M cells.
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Message Passing Neural Networks for Molecule Property Prediction
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
Medical imaging processing for AI applications.
SDG is a specialized framework designed to generate high-quality structured tabular data.
Optax is a gradient processing and optimization library for JAX.
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
A Python package to assess and improve fairness of machine learning models.
A unified orchestration layer for heterogeneous AI compute. It standardizes how to manage compute and run training and inference on GPU clouds, Kubernetes, VMs, or bare-metal clusters.
A library for training and deploying machine learning models on Amazon SageMaker
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
TFX is an end-to-end platform for deploying production ML pipelines
Machine learning on FPGAs using HLS
Awesome machine learning for combinatorial optimization papers.
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
Deep and online learning with spiking neural networks in Python
The RF and reverse engineering framework for everyone. Follow and ★ to show your support!
A deep learning package for many-body potential energy representation and molecular dynamics
Python Stream Processing
:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI
🤖 A Python library for learning and evaluating knowledge graph embeddings
Library for training machine learning models with privacy for training data
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Elyra extends JupyterLab with an AI centric approach.
Training PyTorch models with differential privacy
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
Gaussian processes in TensorFlow
A Python package for time series classification
Large-scale LLM inference engine
Magenta RealTime 2: An Open-Weights Live Music Model
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Reference implementations of MLPerf® training benchmarks
Python AutoML for Trading Systems and Sports Betting
Synthetic data curation for post-training and structured data extraction
A lightweight library for PyTorch training tools and utilities
Automated Machine Learning on Kubernetes
Simulation of spiking neural networks (SNNs) using PyTorch.
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
TensorLy: Tensor Learning in Python.
DLRover: An Automatic Distributed Deep Learning System
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.
Machine learning with dataframes
A PyTorch library and evaluation platform for end-to-end compression research
The backend agents build with - Multimodal database, orchestration, and serving in one file
Extensible, parallel implementations of t-SNE
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
High-quality implementations of standard and SOTA methods on a variety of tasks.
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Python Streaming DataFrames for Kafka
List of papers studying machine learning through the lens of category theory
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
Multi-class confusion matrix library in Python
Fast and customizable framework for automatic ML model creation (AutoML)
Machine learning for NeuroImaging in Python
Production-shaped MLOps Python package and reference implementation of the MLOps Coding Course: MLflow, scikit-learn, Pydantic, Pandera, uv, and mise.
Extra blocks for scikit-learn pipelines.