11 results found Sort:

h1st-ai
h1st h1st-ai
94
799
other
42
Power Tools for AI Engineers With Deadlines
automl avionics cold-start time-series data-science collaboration cybersecurity hacktoberfest explainability industrial-iot home-automation human-in-the-loop autonomous-vehicles energy-optimization predictive-maintenance datascience-environment trustworthy-datascience ensemble-machine-learning
Created 2020-08-13
817 commits to main branch, last one about a year ago
sharmapratik88
AIML-Projects sharmapratik88
79
143
mit
10
Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
nlp catboost statistics data-science oversampling random-forest computer-vision machine-learning data-visualization datascienceproject logistic-regression recommendation-system machinelearningprojects support-vector-machines decision-tree-classifier ensemble-machine-learning knearest-neighbor-algorithm supervised-machine-learning gradient-boosting-classifier unsupervised-machine-learning
Created 2019-10-20
86 commits to master branch, last one 3 years ago
nikitaprasad21
ML-Cheat-Codes nikitaprasad21
72
125
mit
1
Machine Learning Cheatsheet 2024
python tensors xgboost random-forest decision-trees linear-regression adaboost-algorithm logistic-regression ensemble-machine-learning
Created 2024-01-17
109 commits to main branch, last one 2 months ago
ZhiningLiu1998
mesa ZhiningLiu1998
26
105
mit
7
[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
mesa ensemble meta-sampler meta-training ensemble-model class-imbalance imbalanced-data imbalanced-learn imbalanced-learning imbalance-classification meta-learning-algorithms ensemble-machine-learning
Created 2020-06-03
17 commits to master branch, last one 2 years ago
FilippoMB
Ensemble-Conformalized-Quantile-Regression FilippoMB
9
87
mit
2
Valid and adaptive prediction intervals for probabilistic time series forecasting
random-forest quantile-regression conformal-prediction prediction-intervals frequentist-statistics time-series-prediction time-series-forecasting ensemble-machine-learning probabilistic-forecasting recurrent-neural-networks uncertainty-quantification frequentistic-confidence-intervals
Created 2022-02-11
26 commits to main branch, last one 2 years ago
desh2608
dover-lap desh2608
13
80
mit
4
Python package for combining diarization system outputs.
dover-lap diarization ensemble-machine-learning
Created 2020-09-03
60 commits to master branch, last one about a year ago
gkunapuli
ensemble-methods-notebooks gkunapuli
35
75
mit
4
A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
python scikit-learn jupyter-notebook machine-learning ensemble-learning ensemble-machine-learning
Created 2020-07-03
46 commits to master branch, last one about a year ago
dkanungo
Probabilistic-ML-for-finance-and-investing dkanungo
32
73
apache-2.0
5
Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python
capm finance trading investing epistemology npv-analysis generative-ai portfolio-theory project-management probabilistic-models aleatoric-uncertainty epistemic-uncertainty monte-carlo-simulation hamiltonian-monte-carlo ontological-information markov-chain-monte-carlo ensemble-machine-learning probabilistic-programming uncertainty-quantification maximum-likelihood-estimation
Created 2023-08-14
54 commits to main branch, last one 11 months ago
FernandoLpz
Stacking-Blending-Voting-Ensembles FernandoLpz
24
52
unknown
2
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 ...
voting blending stacking ensemble-model machine-learning ensemble-learning stacking-ensemble ensemble-classifier ensemble-machine-learning
Created 2020-11-29
16 commits to master branch, last one 3 years ago
Dan-Boat
PyESD Dan-Boat
11
48
mit
5
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. precipi...
downscaling sckit-learn tensorflow2 deep-learning precipitation machine-learning ensemble-machine-learning
Created 2021-11-14
172 commits to main branch, last one about a month ago
jon-chun
sentimentarcs_notebooks jon-chun
8
39
mit
3
SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time
nlp story finance ensemble affective narrative sentiment time-series social-media storytelling transformers peak-detection machine-learning feature-extraction sentiment-analysis narrative-extraction time-series-analysis narrative-visualization ensemble-machine-learning natural-language-processing
Created 2022-03-26
112 commits to main branch, last one about a year ago