vogalbraith Goto Github PK

955.wlb

955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

algo

数据结构和算法必知必会的50个代码实现

alphafm

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

awesome-learning

实践源码库：https://github.com/jast90/bigdata 。 微信搜索Jast关注公众号，获取最新技术分享😯。

awesome-llms-in-china

**大模型

chatglm-6b

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

cpython-internals

Dive into CPython internals, trying to illustrate every detail of CPython implementation

cs-xmind-note

计算机专业课（408）思维导图和笔记：计算机组成原理（第五版 王爱英），数据结构（王道），计算机网络（第七版 谢希仁），操作系统（第四版 汤小丹）

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

deep-ctr

An attempt of training DNN models to predict ad click-through rate, implemented with Theano.

deep_learning

基础的深度学习实验研究结果汇总笔记

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deeplearning

深度学习相关的模型训练、评估和预测相关代码

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

dssm-lookalike

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

faiss

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

fate

An Industrial Grade Federated Learning Framework

fe4ml-zh

:book: [译] 面向机器学习的特征工程

graphembedding

Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec

ijcai-18-top2-single-mole-solution

复赛第二名单模型方案，没有特征选择没有调参LGB单模型857个特征

implicit-mf

Implicit matrix factorization as outlined in http://yifanhu.net/PUB/cf.pdf.

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

kddcup_2020_debiasing_1st_place

kdtree

A Python implementation of a kd-tree

libfm

Library for factorization machines

lihang-code

《统计学习方法》的代码实现

line

TensorFlow implementation of paper "LINE: Large-scale Information Network Embedding" by Jian Tang, et al.

lossupaccup

Loss and accuracy go opposite ways...right?

machine-learning-yearning-cn

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著