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academic-kickstart

act

anomaly_tuning

Learning hyperparameters for unsupervised anomaly detection

anomalyzer

Probabilistic anomaly detection for time series data

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

applied-statistics-sta442-homework

awesome-anomaly-detection

A complete list of papers on anomaly detection.

awesome-architecture-search

A curated list of awesome architecture search resources

awesome-knowledge-distillation

Awesome Knowledge Distillation

awesome-ts-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bayesian-forest

cell

cellnas

chainercv

ChainerCV: a Library for Deep Learning in Computer Vision

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

chatgpt_please_improve_my_paper_writing

a thin wrapper of chatgpt for improving paper writing.

curve

An Integrated Experimental Platform for time series data anomaly detection.

dagmm

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

dcgan_code

Deep Convolutional Generative Adversarial Networks

deep-person-reid

Pytorch implementation of deep person re-identification models.

deep_learning_model

deepadots

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

deepbayes-2018

Seminars DeepBayes Summer School 2018

deepgrabcut-pytorch

Deep GrabCut in PyTorch

deeplearning-biology

A list of deep learning implementations in biology

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

fastai

The fast.ai deep learning library, lessons, and tutorials

fasttext.py

A Python interface for Facebook fastText