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a-collection-of-important-tasks-in-pytorch

Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!

accessing-and-modifying-different-layers-of-a-pretrained-model-in-pytorch

alexnet-pytorch

An PyTorch implementation AlexNet.Simple, easy to use and efficient

anomaly-detection-in-power-consumption-using-sequence-to-seqence-modeling

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

bangmetric

basic-algorithms-

bertviz

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

controversial_stimuli_tutorial

A PyTorch tutorial on synthesizing controversial stimuli for ImageNet classifiers

cs-video-courses

List of Computer Science courses with video lectures.

deep-convolutional-gan

deep-sense

iOS app developed in HackHavard (Harvard University Hackathon)

deep-sense_music_generation_deeprbm

devboxnotebooks

dl_tutorials

Deep learning tutorials (2nd ed.)

easyread

face_recog_lbph

fast-texforms

Code database for Fast Texform generation as proposed in the work of Deza, Chen, Long and Konkle (CCN 2019).

feziodoshi.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

foveated-metamers

Create metamers using models of the ventral stream and run experiments to validate them

freak

gandissect

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

ganocracy

generalisation-humans-dnns

Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

improved-wgan-pytorch

Improved WGAN in Pytorch

interp-workshop-2019

Fairness and Interpretability IACS ComputeFest 2019

jsvs

Sample code for adapting jsPsych for visual attention experiments.