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100-days-of-ml-code

100 Days of ML Coding

autoencoders

Experimenting AutoEncoders

autograd

Efficiently computes derivatives of numpy code.

awesome-3d-human

awesome-detectron2

A collection of projects build with detectron2

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-image-denoising-state-of-the-art

awesome image and video denoising, state of the art networks

awesome-image-translation

A collection of awesome resources image-to-image translation.

awesome-incremental-learning

Awesome Incremental Learning

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-virtual-try-on

A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

comparison_of_time_series_methods

conditional-similarity-networks

conference-acceptance-rate

Statistics of acceptance rate for the main AI conference

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, DGR, DGR+distill, RtF, iCaRL).

continual-learning-ewc

deep-metric-learning-baselines

PyTorch Implementation for Deep Metric Learning Pipelines

disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

dl_accelerate

Exploring Deep Learning Acceleration

down-to-the-last-detail-virtual-try-on-with-detail-carving

Virtural try-on under arbitrary poses

endtoendincrementallearning

End-to-End Incremental Learning

facial-similarity-with-siamese-networks-in-pytorch

Implementing Siamese networks with a contrastive loss for similarity learning

gans

Experimenting GANs

geomstats

Computations and statistics on manifolds with geometric structures.

geoopt

Riemannian Adaptive Optimization Methods with pytorch optim

guml_ieeetai20

Repository for our paper Graph-based Unsupervised Metric Learning

hzpcnet

(Official) Github Repository for Hottel Zone Physics-Constrained Networks for Furnaces: From MLP and LSTM to KAN