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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

522

cpp-playground. C++

203

algorithm. My LeetCode Solutions with Explanation and Time Complexity Analysis

117

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

10

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

8

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

7

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