(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

Pytorch version of - https://github.com/WaqasSultani/AnomalyDetectionCVPR2018

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

3D U-Net model for volumetric semantic segmentation written in pytorch

Source code for "Towards a Deeper Understanding of Adversarial Losses under a Discriminative Adversarial Network Setting"

Code and notes for "Bayesian Reasoning and Machine Learning

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

Awesome Music Projects

Bayesian neural network package

A curated list of papers & resources linked to 3D reconstruction from images.

🔈 Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!

A pytorch implementation of FFTNet.

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Bayesian Modeling and Probabilistic Programming in Python

PRML algorithms implemented in Python

Totally Versatile Miscellanea for Pytorch

💬 SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/

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

Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.

Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this project.

PyTorch Boilerplate For Research

A PyTorch Implementation of "Recurrent Models of Visual Attention"

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained