zxsted's repositories
recsys
recommendation system code
zxsted.github.io
我的hexo博客
pumpkin-book
《机器学习》(西瓜书)公式详解
byterun
A Python implementation of a Python bytecode runner
tranX
A general-purpose neural semantic parser for mapping natural language queries into machine executable code
czsc
缠中说禅技术分析工具;缠论;股票;期货
tutorial
Deeplearning Algorithms Tutorial
torchASN
A pytorch implementation of Abstract Syntax Networks
Architecture-Patterns-with-Python-Book
A Book about Pythonic Application Architecture Patterns for Managing Complexity. Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho.
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
CSCI561_Artificial_Intelligence
Programs developed for CSCI561 Foundations of Artificial Intelligence course
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
OnJava8-zh
OnJava8 中文翻译,又名《Java编程**》 第5版
ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
lihang-code
《统计学习方法》的代码实现
vue-admin-webapp
this is a admin project
Chatbot_CN
基于金融-司法领域(兼有闲聊性质)的聊天机器人,其中的主要模块有信息抽取、NLU、NLG、知识图谱等,并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口
Py-Compiler
一个用python写的编译器
Python-1
All Algorithms implemented in Python
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
NLP-Tutorials
Not complete yet
Deep-Reinforcement-Learning-1
Introduction to Deep Reinforcement Learning
bert-as-service
Mapping a variable-length sentence to a fixed-length vector using BERT model
Mem2Seq-1
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems
Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
Z_knowledge_graph
Bulding kg from 0
practicalAI
📚A practical approach to learning machine learning.
gail_gym
Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.
TPN
Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.