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2017mlspring_hung-yi-lee

Hung-Yi Lee ML 2017 Spring Homework

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

asn

attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

awesome-incremental-learning

Awesome Incremental Learning

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

complementary

Code for complementary-label learning.

cutpaste

Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch

d2l-en

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.

deep_learning_with_noisy_labels_literature

This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.

deviation-network

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

droc

gcn-anomaly-detection

Source codes of our paper in CVPR 2019: Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection

google-research

Google Research

gpt-2-output-dataset

Dataset of GPT-2 outputs for research in detection, biases, and more

gradientepisodicmemory

Continuum Learning with GEM: Gradient Episodic Memory

h-transformer-1d

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

influence-release

interfusion

KDD 2021: Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding

kinetics-i3d

Convolutional neural network model for video classification trained on the Kinetics dataset.

leetcode_101

LeetCode 101：和你一起你轻松刷题（C++）

mammoth

An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

mean-teacher

A state-of-the-art semi-supervised method for image recognition

mixmatch

mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

mmcv

OpenMMLab Computer Vision Foundation

mmdetection

OpenMMLab Detection Toolbox and Benchmark

msgi

ICLR 2020 Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies

neutral-ad