Vitvicky

Convolutional-Net-Prototype-Ensemble

implement of ICDE 2019 paper: Robust High Dimensional Stream Classification with Novel Class Detection

mrc-for-flat-nested-ner

Code for `A Unified MRC Framework for Named Entity Recognition`

algorithm-base

专门为刚开始刷题的同学准备的算法基地，没有最细只有更细，立志用动画将晦涩难懂的算法说的通俗易懂！

pytorch-dann-resnet

A PyTorch implementation for paper Unsupervised Domain Adaptation by Backpropagation

FSAR

The WEB CONFERENCE 2020 paper, few sample and adversarial representation learning for stream mining

Self-Supervised-Learning-Overview

Self-Supervised Learning: Reading List with Topics.

vision

Datasets, Transforms and Models specific to Computer Vision

AwesomeMRC

This repo is our research summary and playground for MRC. More features are coming.

CLEAR

CloserLookFewShot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

Continual_Learning_For_Stream

cords

Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.

DeepBinDiff

Official repository for DeepBinDiff

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

few-shot-meta-baseline

A New Meta-Baseline for Few-Shot Learning

FixMatch-pytorch

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

fscil

Official repository for Few-Shot Class-Incremental Learning (FSCIL)

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

negative-margin.few-shot

PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”

NRP

Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)

openTSNE

Extensible, parallel implementations of t-SNE

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

research-ms-loss

MS-Loss: Multi-Similarity Loss for Deep Metric Learning

responsibleNLPresearch

templates and other documents regarding responsible NLP research

SDC-IL

Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)

sentence-transformers

Sentence Embeddings with BERT & XLNet

StockAgent

SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

time_series_augmentation

An example of time series augmentation methods with Keras