hjeffreywang
Data scientist with a background in engineering, data analytics, database management, ChatGPT implementation, and LLM development.
hjeffreywang@gmail.com
Pinned Repositories
Advanced-Data-Science
Assignments of Machine Learning in Python
Advanced-Prediction-of-Multi-stage-continuous-flow-manufacturing-process
Created data regression models to predict 15 unknown variables within 4% error at any plant condition. Denoised 11000 x 115 dataset, leading to 70% improvement in prediction accuracy. Used data engineering to produce features that were relevant to the target variables. Produced confusion matrices to determine relevant features for machine learning. Final prediction horizon of four times dataset timescale to within 5% error
Alpaca-Algotrading--Legacy-
Engineered and backtested strategies using a variety of indicators and custom features. Optimized buy/sell conditions through custom optimization algorithm. Discovered most significant features through machine learning. Created Heroku app to maintain code during downtime. Implemented a portfolio manager that automatically handles, scales, and visualizes financial gains and losses. Current design yields an SQN of 8.9-9.2.
alphafold
Open source code for AlphaFold.
Analysis-and-time-series-forecasting-COVID-South-Korea-
Automatic_Timeline_setup
Bayesian_analysis_workflow
Beginning-Application-Development-with-TensorFlow-and-Keras
Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications
Failed_LSTM_network
Stock_feature_engineering
Created a continuous, homogeneous, and structured 10 GB dataset from self obtained collections of unstructured intraday financial data. Generated features from indicators, statistics, and recent factors. Used multi-disciplined analysis to find feature importance. Attached labels of trends and stop/hold positions for machine learning. Used machine learning to significant features.
hjeffreywang's Repositories
hjeffreywang/sd-webui-controlnet
WebUI extension for ControlNet
hjeffreywang/awesome-open-data-centric-ai
Curated list of open source tooling for data-centric AI on unstructured data.
hjeffreywang/Datasciencereview
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
hjeffreywang/NYPD-Incident-report
hjeffreywang/pytorch-forecasting
Time series forecasting with PyTorch
hjeffreywang/Data_Centric_Workflow
Lab assignments for Introduction to Data-Centric AI, MIT IAP 2023 👩🏽💻
hjeffreywang/ein_to_xmlid
hjeffreywang/Automatic_Timeline_setup
hjeffreywang/OTIO_Editing_exploration
hjeffreywang/refresher_100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
hjeffreywang/FinRL
Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥
hjeffreywang/bayesoptbook.github.io
Companion webpage for the book "Bayesian Optimization" by Roman Garnett
hjeffreywang/Alpaca-Algotrading--Legacy-
Engineered and backtested strategies using a variety of indicators and custom features. Optimized buy/sell conditions through custom optimization algorithm. Discovered most significant features through machine learning. Created Heroku app to maintain code during downtime. Implemented a portfolio manager that automatically handles, scales, and visualizes financial gains and losses. Current design yields an SQN of 8.9-9.2.
hjeffreywang/Linux_Ta_Lib_installation
A quick guide and refresh for intsalling Ta-lib for anaconda on Linux
hjeffreywang/alphafold
Open source code for AlphaFold.
hjeffreywang/Bayesian_analysis_workflow
hjeffreywang/biosim4
Biological evolution simulator
hjeffreywang/reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
hjeffreywang/Machine-Learning-for-Asset-Managers
Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.
hjeffreywang/Kraken-API---A-Complete-Guide-Algotrading101
Kraken API Guide for the Algotrading101 blog
hjeffreywang/Binance_Python_Algotrading
hjeffreywang/Alphavantage_Alpaca_integration
This is a repository for implementing data requisition for algotrading using Alphavantage standard API for intraday data and implementing said data into a trading script through the Alpaca Broker.
hjeffreywang/Pytorch_VisualDeepLearning_projects
hjeffreywang/Deep-Learning-Coursera-1
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
hjeffreywang/Transformers-RL-copy
An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"
hjeffreywang/practical-statistics-for-data-scientists
Code repository for O'Reilly book
hjeffreywang/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
hjeffreywang/Machine-Learning-for-Finance
Machine Learning for Finance, published by Packt
hjeffreywang/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
hjeffreywang/DataScienceOutline