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adaptive-filter

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

adversarial-autoencoder

Tensorflow 2.0 implementation of Adversarial Autoencoders

adversarialnetspapers

The classical paper list with code about generative adversarial nets

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

awesome-capsule-networks

A curated list of awesome resources related to capsule networks

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

awesome-semi-supervised-learning

:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

awesome-weakly-supervised-segmentation

bap

Bayesian Analysis with Python (Second Edition)

bayes-nn

Lecture notes on Bayesian deep learning

bayesain-neural-network

bayesian-neural-network-blogpost

Building a Bayesian deep learning classifier

bcilab

MATLAB Toolbox for Brain-Computer Interface Research

boundingbox

Bounding Box for Yolo

communication-oriented-autoencoders---where-shannon-meets-wiener

the python codes of paper "Communication-oriented Autoencoders - where Shannon meets Wiener"

complex-cnn-phaseretrival

coral-reef-image-segmentation-and-classification

crf

keras implementation of conditional random field

data-structures-and-algorithms-in-python

This repository contains solutions to end of chapter exercises in the book on "Data Structures and Algorithms in Python"

dcgan

The Simplest DCGAN Implementation

dcr-consistency

DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models

deepemotion

deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link

dib

Codes for 'Deep Deterministic Information Bottleneck with Matrix-based entropy functional' in ICASSP 2021

dirichlet

This repository contains code in Python3 and GNU Octave to generate samples from the Dirichlet distributions and from the Dirichlet process and to test its clustering capabilities.

dirichlet-vae-topic-models

implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow

dl-uncertainty

"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).