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deep_learning

基础的深度学习实验研究结果汇总笔记

deeprec

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

deepspeed

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

deepul

dgm

Deep Generative Model

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意

dl

deep learning algoirthm

dlalgo

Deep Learning Models and Algorithms

dlwithtf

TensorFlow for Deep Learning Book

dstm

Domain-specific Topic Model

eges

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcn

Implementation of Graph Convolutional Networks in TensorFlow

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gmm

Gaussian Mixture Model and Inference Algorithm in Matlab

gumbel-softmax

categorical variational autoencoder using the Gumbel-Softmax estimator

huggingface-ner

hw1-speech-recognition

Starter code for HW1.

infogan

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

k-adapter

keras-textclassification

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

kgnn-ls

A tensorflow implementation of Knowledge-aware Graph Neural Networks with Label Smoothness regularization

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

leetcode

leetcode-1

This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The problems attempted multiple times are labelled with hyperlinks.

loss-landscape

Code for visualizing the loss landscape of neural nets

machine_learning_resources

:fish::fish::fish: 机器学习面试复习资源

mc_gradients

me

My personal website

mining-low-dim-network-data

Material for my short course at the 5th PhD School on Traffic Monitoring and Analysis, Barcelona, May 21-22 2015