bjuthjliu Goto Github PK

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

awesome-recsys-papers

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

bine

BiNE: Bipartite Network Embedding

broadbandhelper

An broadBandHelper

btlab

network and control PLCs over bluetooth for industry purpose

camerauploader

android camera application.

causalml

Uplift modeling and causal inference with machine learning algorithms

data-science-question-answer

A repo for data science related questions and answers

deep_learning

Basic Deep Learning

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt,Deep Session Interest Network(DSIN)

deepinterestnetwork

drl

Deep Reinforcement Learning

ds-career-resources

Compilation of resources and insights that helped me on my journey to data scientist

featran

A Scala feature transformation library for data science and machine learning

fregata

A light weight, super fast, large scale machine learning library on spark .

github

hjliu's github

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

llm-agent-paper-list

The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

models

Models and examples built with TensorFlow

pytorch-biggraph

Software used for generating embeddings from large-scale graph-structured data.

rspapers

A Curated List of Must-read Papers on Recommender System.

rtb-papers

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

shap

A game theoretic approach to explain the output of any machine learning model.

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

stellargraph

StellarGraph - Machine Learning on Graphs

styleguide

Style guides for Google-originated open-source projects

summary-of-recommender-system-papers

阅读过的推荐系统论文的归类总结，持续更新中…

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

tensorflow-course

Simple and ready-to-use tutorials for TensorFlow