Explore Projects
Discover 99 open source projects
Showing 41-60 of 99 projects
jostmey/NakedTensor
Bare-bones examples of machine learning in TensorFlow for developers working with AI tools.
unslothai/hyperlearn
High-performance machine learning algorithms with 2-2000x speed and 50% less memory usage for all hardware.
markrogoyski/math-php
Powerful math library for PHP with features like statistics, probability distributions, linear algebra, and more.
didi/sharingan
A Go-based tool for recording and replaying network traffic, useful for project refactoring and regression testing.
mojoaxel/awesome-regression-testing
A curated list of resources around the topic of visual regression testing.
RubixML/ML
A high-level machine learning and deep learning library for the PHP language.
IndrajeetPatil/ggstatsplot
ggstatsplot is an R library that enhances ggplot2 visualizations with statistical analysis and hypothesis testing.
ModelTC/LightX2V
A Python framework for high-performance auto-regressive diffusion model-based image and video generation.
WassimTenachi/PhySO
A Python library for physical symbolic optimization, combining deep learning and reinforcement learning.
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of various Bayesian neural network techniques for approximate inference and uncertainty quantification.
FoundationVision/LlamaGen
A scalable image generation model based on the Llama language model, outperforming diffusion models.
JuliaAI/MLJ.jl
A flexible machine learning framework for the Julia programming language, used for classification, clustering, and more.
oblador/loki
A visual regression testing tool for Storybook, enabling developers to catch UI changes early in the development process.
imbue-bit/AlphaGPT
This Python project uses symbolic regression to efficiently extract factors in the Chinese stock and crypto markets.
kk7nc/Text_Classification
A comprehensive survey of text classification algorithms and techniques in Python.
edyoda/data-science-complete-tutorial
This repository provides comprehensive tutorials and resources for learning data science and machine learning using Python.
trevorstephens/gplearn
A Python library for Genetic Programming with a scikit-learn inspired API for developers building AI tools.
benedekrozemberczki/awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
scikit-learn-contrib/lightning
Large-scale linear classification, regression, and ranking library for Python developers.
dynamicslab/pysindy
A package for the sparse identification of nonlinear dynamical systems from data
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