Vitvicky

Adversarial-Metric-Learning

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！

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, DGR, DGR+distill, RtF, iCaRL).

Convolutional-Net-Prototype-Ensemble

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

Deep_Metric_Learning

FSAR

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

learn2learn

PyTorch Meta-learning Framework for Researchers

mrc-for-flat-nested-ner

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

pytorch-dann-resnet

A PyTorch implementation for paper Unsupervised Domain Adaptation by Backpropagation

scalableKMM

Vitvicky/Convolutional-Net-Prototype-Ensemble

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

Vitvicky/mrc-for-flat-nested-ner

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

Vitvicky/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！

Vitvicky/pytorch-dann-resnet

A PyTorch implementation for paper Unsupervised Domain Adaptation by Backpropagation

Vitvicky/FSAR

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

Vitvicky/Self-Supervised-Learning-Overview

Self-Supervised Learning: Reading List with Topics.

Vitvicky/vision

Datasets, Transforms and Models specific to Computer Vision

Vitvicky/AwesomeMRC

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

Vitvicky/CLEAR

Vitvicky/CloserLookFewShot

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

Vitvicky/Continual_Learning_For_Stream

Vitvicky/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.

Vitvicky/DeepBinDiff

Official repository for DeepBinDiff

Vitvicky/DeepSpeed

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

Vitvicky/fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

Vitvicky/few-shot-meta-baseline

A New Meta-Baseline for Few-Shot Learning

Vitvicky/FixMatch-pytorch

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

Vitvicky/fscil

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

Vitvicky/mit-deep-learning

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

Vitvicky/negative-margin.few-shot

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

Vitvicky/NRP

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

Vitvicky/openTSNE

Extensible, parallel implementations of t-SNE

Vitvicky/pytorch-meta

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

Vitvicky/research-ms-loss

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

Vitvicky/responsibleNLPresearch

templates and other documents regarding responsible NLP research

Vitvicky/SDC-IL

Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)

Vitvicky/sentence-transformers

Sentence Embeddings with BERT & XLNet

Vitvicky/StockAgent

Vitvicky/SupContrast

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

Vitvicky/time_series_augmentation

An example of time series augmentation methods with Keras