hjeffreywang

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.

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

Last-Minute-Notes-of-Machine-learning-and-Deep-learning

Last Minute Note of Machine learning and Deep learning by Jason Brownlee

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/Ad-Effectiveness-Report

hjeffreywang/Airflow-PaddleOCR-test

storing script test of paddleocr for airflow docker paddleocr architecture

hjeffreywang/anthropic-cookbook

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

hjeffreywang/anthropic-sdk-python

hjeffreywang/Awesome-Astra-docs

hjeffreywang/awesome-data-centric-ai

Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖

hjeffreywang/Cancer_Detection_CNN

hjeffreywang/cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

hjeffreywang/Data-centric-AI-proof-of-concept

hjeffreywang/data-engineering-zoomcamp

Free Data Engineering course!

hjeffreywang/Deeplearning_TweetClassification

hjeffreywang/dolly

hjeffreywang/E7_autoshop

hjeffreywang/Event_Aware_CNN_POC

hjeffreywang/extractnet

A fork of Dragnet that also extract author, headline, date, keywords from context, as well as built in metadata extraction all in one package

hjeffreywang/Generative_adversarial_Testing

hjeffreywang/Gradient-Boosted-Approach-to-Game-metrics

hjeffreywang/justsubs

Download subtitles from YouTube as plain text.

hjeffreywang/neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

hjeffreywang/nist-crc-2023

NIST Collaborative Research Cycle on Synthetic Data

hjeffreywang/POC-LSTM-sigmoid-labelling

Proof of concept for signal labelling using a Pytorch LSTM nn

hjeffreywang/R_qualityControl_Practice

hjeffreywang/ragas

SOTA metrics for evaluating Retrieval Augmented Generation (RAG) pipelines

hjeffreywang/RepoToText

Turn an entire GitHub Repo into a single organized .txt file to use with LLM's (GPT-4, Claude Opus, Gemini, etc)

hjeffreywang/sd-webui-controlnet

WebUI extension for ControlNet

hjeffreywang/Simplified_Langchain_proofofconcept

Quick Test Overview Demo of a simplified, scalable, but service dependent question-answering utilizing Astra DB and LangChain, enhanced by Vector Search.

hjeffreywang/Stable-Diffusion-workflow

hjeffreywang/Testing-Kubernetes-Airflow-ETL

hjeffreywang/text-generation-webui

A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

hjeffreywang/Youtube-Video-Summarizer

TESTING From youtube link, to text, and through chatGPT: summarizes key points of a video. This is made for analysis videos, podcasts, etc.