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anogan

Tensorflow Implementation of AnoGAN (Anomaly GAN)

anogan-keras

Unsupervised anomaly detection with generative model, keras implementation

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

asteroid

The PyTorch-based audio source separation toolkit for researchers

awesome-deep-learning-papers

The most cited deep learning papers

awesome-diarization

A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

cam

Class Activation Mapping

checklist

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

clipasso

conv-tasnet

convolution-visualizer

Convolution visualizations

cyclegan-tensorflow

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。

dagmm

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

darknet

Convolutional Neural Networks

data-mining

just my first repository

deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

deep-photo-styletransfer

Implementation of "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deepanomaly

Recurrent Neural Networks for Anomaly Detection using Time Series Data

dual-path-rnn-pytorch

Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

exposurefusion

This is the implementation of Exposure fusion algorithm (Tom Mertens).

gdl_code

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

keras-retinanet

Keras implementation of RetinaNet object detection.

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

looking-to-listen

Deep neural network (DNN) for noise reduction, removal of background music, and speech separation