nicoledjy

dl_proj

courses

arxivpy

Python wrapper for arXiv API

deml-lab

Lab tasks for the course on "Data Engineering for Machine Learning"

DS-GA-1007

DSH-pytorch

PyTorch implementation of DEEP SUPERVISED HASHING FOR FAST IMAGE RETRIEVAL(CVPR 2016)

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

hashingSearch

Search with a hash index

holographic-embeddings

Code for experiments in the AAAI 2016 paper "Holographic Embeddings of Knowledge Graphs"

HyperPartProject

KGE

Some papers on Knowledge Graph Embedding(KGE)

kge-1

LibKGE - A knowledge graph embedding library for reproducible research

ladder

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning

M5Competition

Solution for M5 Forecasting Competition

naacl_transfer_learning_tutorial

Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA

nicoledjy.github.io

NLP_DL_Lecture_Note

pirl_pytorch

Implementation of Pre-text invariant representation learning algorithm in pytorch

Pretext-Invariant-Representations

Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations

Programming_learning_resource

学习计算机科学的一些资源

PRPN

Parsing Reading Predict Network

pytorch-Deep-Learning

Deep Learning (with PyTorch)

pytorch-retinanet

RetinaNet in PyTorch

Self-Balanced-Dropout

A modified dropout which can reduce the co-adaptation problem.