Vitvicky

Adversarial-Metric-Learning

continual-learning

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

learn2learn

PyTorch Meta-learning Framework for Researchers

Additive-Margin-Softmax-Loss-Pytorch

Additive margin softmax loss in pytorch

advGAN_pytorch

a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).

bertNER

bert-ner for chinese with BiLSTM+CRF model

CVPR19_Incremental_Learning

Learning a Unified Classifier Incrementally via Rebalancing

dataset-distillation

Dataset Distillation

DCGAN-PyTorch

PyTorch Implementation of DCGAN trained on the CelebA dataset.

Deep_metric

Deep Metric Learning

FastAP-metric-learning

Code for CVPR 2019 paper "Deep Metric Learning to Rank"

foolbox

Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …

generative_adversary

Code for the Generative Adversarial Examples paper

InfoGAN-PyTorch

PyTorch Implementation of InfoGAN

lm_finetuning

Language Model Fine-tuning for Moby Dick

MAML-Pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

ME-Net

[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

NER-BERT-CRF

nlp-python-deep-learning

NLP in Python with Deep Learning

numpy-ml

Machine learning, in numpy

outlier-exposure

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

proxy-nca

PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies` (as introduced by Google Research).

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

pytorch-crf

(Linear-chain) Conditional random field in PyTorch.

PyTorch-Image-Retrieval

A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (CVPR 2017).

scibert

A BERT model for scientific text.

SoftTriple

PyTorch Implementation for SoftTriple Loss

spacy-pytorch-transformers

🛸 spaCy pipelines for pre-trained BERT, XLNet and GPT-2

stanford-car-classification

Classifying the Stanford Car dataset using ResNet 50