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ML Tools
High performance distributed framework for training deep learning recommendation models based on PyTorch.
Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.
BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Domain adaptation made easy. Fully featured, modular, and customizable.
Python library for audio and music analysis
A deep learning library for video understanding research.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
HiPlot makes understanding high dimensional data easy
Refactoring dalle-pytorch and taming-transformers for TPU VM
The correct way to resize images or tensors. For Numpy or Pytorch (differentiable).
Open Source Photos Platform Powered by PyTorch
Differentiable architecture search for convolutional and recurrent networks
Deep probabilistic analysis of single-cell and spatial omics data
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…
Bayesian active learning library for research and industrial usecases.
Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)
The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.
A treasure chest for visual classification and recognition powered by PaddlePaddle