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Discover 48 open source projects
Showing 21-40 of 48 projects
mljar/mljar-supervised
An AutoML Python package for tabular data with feature engineering, hyperparameter tuning, and automatic documentation.
Visualize-ML/Book7_Visualizations-for-Machine-Learning
A Jupyter Notebook repository that provides visualizations and explanations for machine learning concepts and algorithms.
louisfb01/best_AI_papers_2022
A curated list of the latest AI breakthroughs in 2022 with explanatory videos, articles, and code.
carykh/jumpcutter
An open-source Python script that automatically edits video by detecting and removing silent sections.
brianway/springmvc-mybatis-learning
This is a learning repository for SpringMVC and MyBatis, providing examples and explanations of basic concepts, usage, and configurations.
louisfb01/best_AI_papers_2021
A curated list of the latest AI research papers from 2021 with explanations and code samples
TeamHG-Memex/eli5
A Python library for inspecting and explaining machine learning models and their predictions.
Trusted-AI/AIF360
A comprehensive set of fairness metrics and algorithms to detect and mitigate bias in AI/ML models and datasets.
yao62995/tensorflow
A repository containing a visual explanation of the TensorFlow source code for developers.
dtolnay/rust-quiz
A repository containing medium to hard Rust coding challenges with explanations, useful for learning Rust.
ramprs/grad-cam
Grad-CAM is a deep learning visualization technique for interpreting and explaining CNN-based models.
ashutosh1206/Crypton
A comprehensive cryptography library with implementations and challenges for security researchers and CTF participants.
MoyanZitto/keras-cn
A Chinese-language Keras documentation with more examples, explanations, and tips for developers.
Rafase282/My-FreeCodeCamp-Code
This is a repository containing code from a developer's journey through the FreeCodeCamp bootcamp, focused on JavaScript.
wuduhren/leetcode-python
A collection of LeetCode solutions and interview preparation resources for software engineers.
interpretml/DiCE
Generate diverse counterfactual explanations for machine learning models.
mtolhuys/laravel-schematics
A Laravel package that provides a visual diagram of your models and relations to help build your app.
joshwcomeau/waveforms
An interactive, explorable explanation about the peculiar magic of sound waves using React and SVG.
TIGER-AI-Lab/TheoremExplainAgent
A Python library for creating video-based multimodal explanations for LLM theorem understanding.
ModelOriented/DALEX
A Python library for interpretable and explainable machine learning model analysis and visualization.
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