AutoML toolkit for automate machine learning lifecycle
Predicting stock prices using a TensorFlow LSTM
Industrial-strength Natural Language Processing (NLP)
A lightweight audio-to-MIDI converter with pitch bend detection
DeepVariant is an analysis pipeline that uses a deep neural networks
Hummingbird compiles trained ML models into tensor computation
TensorFlow-based neural network library
OpenMMLab Model Deployment Framework
Implementation of Imagen, Google's Text-to-Image Neural Network
Simulation of spiking neural networks (SNNs) using PyTorch
Training PyTorch models with differential privacy
Training and serving large-scale neural networks
Core ML tools contain supporting tools for Core ML model conversion
Segmentation models with pretrained backbones. PyTorch
The data structure for multimodal data
A scikit-learn compatible neural network library that wraps PyTorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis
A Python package for extending the official PyTorch
JAX-based neural network library
Stanford NLP Python library for many human languages
Neural Network Compression Framework for enhanced OpenVINO
A library for scientific machine learning & physics-informed learning
AIMET is a library that provides advanced quantization and compression
Graph Neural Network Library for PyTorch
Usable Implementation of "Bootstrap Your Own Latent" self-supervised