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zhengkaifu's repositories

algo

数据结构和算法必知必会的50个代码实现

Language:CApache-2.0100

Algorithm_Interview_Notes-Chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

Language:Python100

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

Language:C++Apache-2.0100

awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

NOASSERTION100

Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer and Reinforcement Learning.

Language:Python100

Awesome-Incremental-Learning

Awesome Incremental Learning

100

awesome-reinforcement-learning-zh

中文整理的强化学习资料（Reinforcement Learning）

100

cheat.sh

the only cheat sheet you need

Language:PythonMIT100

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, DGR, DGR+distill, RtF, iCaRL).

Language:PythonMIT100

cpython

The Python programming language

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CTR-Prediction

Sharing the CTR Prediction original paper and personal study notes

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DeepLearning-500-questions

Language:TeXGPL-3.01 20

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

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examples

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

Language:PythonBSD-3-Clause100

Familia

A Toolkit for Industrial Topic Modeling

Language:C++BSD-3-Clause100

leetcode-1

leetcode题解，记录自己的leetcode解题之路。

Language:JavaScript100

Mallet

MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.

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numpy-ml

Machine learning, in numpy

Language:PythonGPL-3.0100

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Language:Jupyter NotebookMIT100

project-based-learning

Curated list of project-based tutorials

MIT1 20

Python

All Algorithms implemented in Python

Language:PythonMIT100

python-recsys

A python library for implementing a recommender system

Language:Python100

pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

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pytorch-examples

Simple examples to introduce PyTorch

Language:PythonMIT1 20

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

100

SimpleKernel

Simple kernel for learning operating systems. 用于学习操作系统的简单内核

Language:CMIT100

single_file_libs

List of single-file C/C++ libraries.

100

system-design-primer

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

Language:PythonNOASSERTION1 20

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

Language:Jupyter NotebookNOASSERTION100

xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

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