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alae

[CVPR2020] Adversarial Latent Autoencoders

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-federated-computing

:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.

awesome-pruning

A curated list of neural network pruning resources.

awesome-thesis

A curated list of practical tips and tricks to help you achieve an awesome CS master thesis [WIP] - contributions are welcome

awesome_opensetrecognition_list

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

blog

chatgpt_interview_guide_ml

List of machine learning interview questions generated by ChatGPT. Work in progress.

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

deep-svdd-pytorch

A PyTorch implementation of the Deep SVDD anomaly detection method

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

freeadversarialtraining

PyTorch Implementation of Adversarial Training for Free!

gitignore

A collection of useful .gitignore templates

guided_diffusion

Forked from https://github.com/openai/guided-diffusion

hidden-networks

hydra

A framework for pruning adversarially robust neural networks.

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

jax_privacy

lifelong-robustness

minimal-diffusion

A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)

opacus

Training PyTorch models with differential privacy

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pspnet-keras-tensorflow

original code : https://github.com/hszhao/PSPNet

pytorch_baseline

Baseline natural/adversarial training framework with mixed precision (amp fp16) + multi-gpu support.

pytorch_image_classification

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST

spml_seminar

ssd