Power Tools for AI Engineers With Deadlines

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

Machine Learning Cheatsheet 2024

[NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题

Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python

Valid and adaptive prediction intervals for probabilistic time series forecasting.

Python package for combining diarization system outputs.

A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)

Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis"

A curated list of Awesome-LLM-Ensemble papers for the survey "Harnessing Multiple Large Language Models: A Survey on LLM Ensemble"

This repository contains an example of each of the Ensemble Learning methods: Stacking, Blending, and Voting. The examples for Stacking and Blending were made from scratch, the example for Voting was using the scikit-learn utility.

Use machine learning models to detect lies based solely on acoustic speech information

Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.

SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time

Here my amazing tutorial collection contain amazing notebook must read. It's contain pytorch, Advance pandas, Ensemble learning, Tensorflow, Genetic Algorithms, Dask, Word Embedding

OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments(PCTE) and Selection-based Feature Preprocessor with Ensemble Encoding(SPEE), to help data scientists build optimal models, and automate supervised learning workflow with simpler coding.

Cyber-attack classification in the network traffic database using NSL-KDD dataset

MABEL: Malware Analysis Benchmark for Artificial Intelligence and Machine Learning

Repo for the OBBStacking: An Ensemble Method for Remote Sensing Object Detection