aglaiawong Goto Github PK

2017f-comp3111

Course webpage for COMP3111/COMP3111H Software Engineering at HKUST

acm

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

aglaiawong.github.io

amazing-feature-engineering

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

analyticsvidhya_projects

Python codes for AnalyticsVidhya competitions

androidtutorialforbeginners

Step by step to build Android apps using Android Studio

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

asm_prog_ex

Exercises for Assembly language course

astar

AStar example with community contributions

atm

Auto Tune Models - A multi-user, multi-data system for automated machine learning (model selection and tuning).

awesome-deep-learning-papers

The most cited deep learning papers

awesome-hacking

A collection of various awesome lists for hackers, pentesters and security researchers

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-project-ideas

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

awesome-public-datasets

A topic-centric list of HQ open datasets. PR ☛☛☛

awesome-quant

bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

bigdata

chrome_extensions_and_apps_programming

Chrome扩展及应用开发

coding-interview-university

A complete computer science study plan to become a software engineer.

comp4211_spring2018

This is a repository for the tutorial materials in machine learning (COMP4211) in HKUST.

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

ctci-6th-edition-python

Cracking the Coding Interview 6th Ed. Python Solutions

dat8

General Assembly's 2015 Data Science course in Washington, DC

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

datasets-for-recommneder-systems

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!