pytorch

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L

Simple UI for LLM Model Finetuning

A library for differentiable nonlinear optimization

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

Deep and online learning with spiking neural networks in Python

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Demo for the "Talking Head Anime from a Single Image."

A deep learning package for many-body potential energy representation and molecular dynamics

A Python package for extending the official PyTorch that can easily obtain performance on Intel platform

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

CVNets: A library for training computer vision networks

Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)

PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

OneDiff: An out-of-the-box acceleration library for diffusion models.

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project