All Projects → mdipietro09 → DataScience_ArtificialIntelligence_Utils

mdipietro09 / DataScience_ArtificialIntelligence_Utils

Licence: other
Examples of Data Science projects and Artificial Intelligence use cases

Programming Languages

Jupyter Notebook
11667 projects
python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to DataScience ArtificialIntelligence Utils

SHAP FOLD
(Explainable AI) - Learning Non-Monotonic Logic Programs From Statistical Models Using High-Utility Itemset Mining
Stars: ✭ 35 (-88.41%)
Mutual labels:  explainable-ai, explainable-ml
Interpret
Fit interpretable models. Explain blackbox machine learning.
Stars: ✭ 4,352 (+1341.06%)
Mutual labels:  explainable-ai, explainable-ml
global-attribution-mapping
GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations
Stars: ✭ 18 (-94.04%)
Mutual labels:  explainable-ai, explainable-ml
CARLA
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
Stars: ✭ 166 (-45.03%)
Mutual labels:  explainable-ai, explainable-ml
Synthetic-data-gen
Various methods for generating synthetic data for data science and ML
Stars: ✭ 57 (-81.13%)
Mutual labels:  time-series, regression
shapr
Explaining the output of machine learning models with more accurately estimated Shapley values
Stars: ✭ 95 (-68.54%)
Mutual labels:  explainable-ai, explainable-ml
Tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Stars: ✭ 3,191 (+956.62%)
Mutual labels:  explainable-ai, explainable-ml
dlime experiments
In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).
Stars: ✭ 21 (-93.05%)
Mutual labels:  explainable-ai, explainable-ml
battery-rul-estimation
Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs
Stars: ✭ 25 (-91.72%)
Mutual labels:  time-series, regression
Deep XF
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
Stars: ✭ 83 (-72.52%)
Mutual labels:  time-series, explainable-ml
ProtoTree
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
Stars: ✭ 47 (-84.44%)
Mutual labels:  explainable-ai, explainable-ml
Anticipy
A Python library for time series forecasting
Stars: ✭ 71 (-76.49%)
Mutual labels:  time-series, regression
mllp
The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
Stars: ✭ 15 (-95.03%)
Mutual labels:  explainable-ai, explainable-ml
fastshap
Fast approximate Shapley values in R
Stars: ✭ 79 (-73.84%)
Mutual labels:  explainable-ai, explainable-ml
responsible-ai-toolbox
This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.
Stars: ✭ 615 (+103.64%)
Mutual labels:  explainable-ai, explainable-ml
ml-fairness-framework
FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
Stars: ✭ 59 (-80.46%)
Mutual labels:  explainable-ai, explainable-ml
Mindsdb
Predictive AI layer for existing databases.
Stars: ✭ 4,199 (+1290.4%)
Mutual labels:  explainable-ai, explainable-ml
Pycaret
An open-source, low-code machine learning library in Python
Stars: ✭ 4,594 (+1421.19%)
Mutual labels:  time-series, regression
Java Deep Learning Cookbook
Code for Java Deep Learning Cookbook
Stars: ✭ 156 (-48.34%)
Mutual labels:  time-series, regression
fiddler-core-demos
Sample applications demonstrating usages of Progress® Telerik® FiddlerCore Embedded Engine.
Stars: ✭ 64 (-78.81%)
Mutual labels:  examples

Data Science & Artifical Intelligence with Python

In this repo you can find useful examples of Data Science use cases and Artificial Intelligence problems.
Most of the projects are documented on Medium.


1. Machine Learning:










2. Time Series:








3. Natural Language Processing:






4. Computer Vision:








5. Reinforcement Learning:

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].