MathematicalModels

system-design-101

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

Ad-papers

Papers on Computational Advertising

arxiv.py

Python wrapper for the arXiv API

BalancedMetaSoftmax

Code for the paper "Balanced Meta-Softmax for Long-Tailed Visual Recognition"

Beijing-House

面向北京码农同胞的从0开始的买房踩盘实录，目标只有一个: 每一分钱都花的明白(持续补充和完善ing…)

Curvature-Learning-Framework

Curvlearn, a Tensorflow based non-Euclidean deep learning framework.

DALLE-pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

DFN

Deep Feedback Network for Recommendation

dpprl

easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

faiss

A library for efficient similarity search and clustering of dense vectors.

FinRL

FinRL: Financial Reinforcement Learning. 🔥

home_for_adser

some useful papers and blogs for people who are interested in online advertising

joint-kg-recommender

knowledge_evolution

(CVPR-Oral 2021) PyTorch implementation of Knowledge Evolution approach and Split-Nets

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Knowledge_Graph_based_Intent_Network

Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

LearningforAuctionPapers

LFME

Code for "Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification", ECCV 2020 Spotlight

OpenLongTailRecognition-OLTR

Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)

PCL

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

PURS

pymarl2

SOTA MARL algorithms for StarCraft II Multi Agent Challenge

rapid

[ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

resume

个人中文简历 Latex 源码 https://hijiangtao.github.io/

Stanford-CS-229-CN

A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Trajectory-Transformer

Code for "Transformer Networks for Trajectory Forecasting"

WSDM21-Hands-on-Tutorial

Scalable Graph Neural Networks with Deep Graph Library