jianhenghou Goto Github PK

alpha_edison_challenge

Data collection and Sentiment Analysis for IMDB

amazon-alert

Track prices on Amazon and receive email alerts for price drops

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

aspect-based_sentiment_analysis

Final report for USC CSCI-566 (Deep Learning and its Applications)

attention-mechanisms

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

bert-multi-label-text-classification

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

coca-pytorch

Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

company_report

A sample report for startups

consumption-tracking-and-causal-analysis

A pipeline Tracking top sector movers based on metrics related to customer consumption to inform potential investment opportunities, identifying top demographic factors of customers correlated to the metric movement, and analyzing structural vs behavioral contribution of representative customer segments to the change.

deeptoxic

top 1% solution to toxic comment classification challenge on Kaggle.

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

ds-take-home

My solution to the book A Collection of Data Science Take-Home Challenges

financial_fraud_detection.ipynb

公开课--Python数据分析之金融欺诈行为检测

fraud-detection

Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook

fraud_detection_techniques

gitbook

hgpa

HGPA's Personal Notes

inf558_project

jianhenghou.github.io

Portfolio of Jianheng Hou

lstm-sentiment-analysis

Sentiment Analysis with LSTMs in Tensorflow

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machine-learning-projects

Machine Learning Experiments and Work

medical-sieve

An End-to-end Topic-based Sentiment Analysis Engine for a VC Firm

mining_of_massive_datasets

The implementation of data mining algorithms on python

ml-interview

Preparing for machine learning interviews

ml-surveys

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

models

Models and examples built with TensorFlow

opinion-mining-project

Feature-Based Sentiment Analysis in Python

rag-demo

search-tweets-python

Python wrapper for Twitter Premium and Enterprise Search APIs