New York

Shengjia Yan

Elite
@yanshengjia

SDE@Amazon | Master@NYU

ml-road. Machine Learning and Agentic AI Resources, Practice and Research

4.9k

artificial-intelligence. Awesome Artificial Intelligence Projects

520

cpp-playground. C++

201

algorithm. My LeetCode Solutions with Explanation and Time Complexity Analysis

119

jist2016. Implementation of the Paper "Entity Linking in Web Tables with Multiple Linked Knowledge Bases"

10

tech-interview-handbook. 💯 Materials to help you rock your next coding interview

8

link. Undergraduate graduation project (Entity Linking System in Web Tables with Multiple Linked Knowledge Bases) at SEU.

8

ngrams-spell-checker. Spell Checker based on Ngrams Language Model

5

hierarchical-classifier. A hierarchical classification system based on traditional machine learning models (LR, SVC, GBDT, RF) and deep learning models (LSTM + Attention)

4

machine-learning-notes. My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接

4

voiletbook-exercise-answers. 算法竞赛入门经典 (2nd Edition) 题解

4

CLRS. :notebook:Solutions to Introduction to Algorithms

3

introml. Python tutorials for introduction to machine learning

3

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

3

coding-interview-university. A complete computer science study plan to become a software engineer.

2

nmt. TensorFlow Neural Machine Translation Tutorial

2

compiler. SEU CS Compiler Course Design: LEX & YACC for MiniC

2

nucleon. Lightweight and Elegant Editor for MiniC created by Qt

2

operation-system. SEU CS Operation System Labs & Sources

2

yanshengjia.github.io. yanshengjia.com

2

crnn.pytorch. Convolutional recurrent network in pytorch

1

d2l-zh. 《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

1

tcp-ip-essentials. Lab assignments in "TCP/IP Essentials: A Lab-Based Approach", using GENI

1

handson-ml. A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

1

languagetool. Style and Grammar Checker for 25+ Languages

1

photo.

1

fairseq. Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

1

knowledge-graph. Python

1

seq2seq. A general-purpose encoder-decoder framework for Tensorflow

1

dragon-book-exercise-answers. Compilers Principles, Techniques, & Tools (purple dragon book) second edition exercise answers. 编译原理(紫龙书)第2版习题答案。

1

oj. C++

1

graphics. SEU CS Computer Graphics Projects

1

gensim. Topic Modelling for Humans

1
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