Power Tools for AI Engineers With Deadlines
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Updated
Jul 31, 2023 - Jupyter Notebook
Power Tools for AI Engineers With Deadlines
Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
[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
Machine Learning Cheatsheet 2024
Valid and adaptive prediction intervals for probabilistic time series forecasting
Python package for combining diarization system outputs.
Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis"
A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
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.
Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python
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
An example repo for how PU Bagging and TSA works.
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
Repo for the OBBStacking: An Ensemble Method for Remote Sensing Object Detection
Top Machine Learning Algorithms Detailed in Python and Preprocessing for Machine Learning
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