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adversarial-examples-in-pytorch

Pytorch code to generate adversarial examples on mnist and ImageNet data.

aix360

Interpretability and explainability of data and machine learning models

amortized_svgd

Experiments of amortized stein variational gradient

arae-tf

ARAE-Tensorflow for Discrete Sequences (Adversarially Regularized Autoencoder)

arc

Adaptive and Reliable Classification

args

art

baal

Using approximate bayesian posteriors in deep nets for active learning

backpack

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

bayesian-coresets-optimization

Bayesian Coresets Construction with Accelerated Iterative Hard Thresholding (A-IHT).

bmaml

This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.

calibration-framework

Python Framework to calibrate confidence estimates of classifiers like Neural Networks

cider

PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023

commonsensemultihopqa

Code for EMNLP 2018 paper "Commonsense for Generative Multi-Hop Question Answering Tasks"

controlled-text-generation

Reproducing Hu, et. al., ICML 2017's "Toward Controlled Generation of Text"

controlnet

Let us control diffusion models!

cs5242_2021

Neural Networks and Deep Learning, NUS CS5242, 2021

ctc

Primer on CTC implementation in pure Python PyTorch code

custom-diffusion

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

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

debias-vision-lang

A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning [AACL 2022]

deep_learning

diffusers

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

dip-vae

An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar et al. (Published at ICLR 2018) https://arxiv.org/abs/1711.00848

dit

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

dl4j-examples

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

dl4j-mds-example

draw

TensorFlow Implementation of "DRAW: A Recurrent Neural Network For Image Generation"

enn

exp-trmf-nips16

Experimental Codes for Temporal Regularized Matrix Factoriztion for High-dimensional Time Series Prediction.