Explore Projects
Discover 4,064 open source projects
Showing 2181-2200 of 4,064 projects
featureform/featureform
The Virtual Feature Store that turns existing data infrastructure into a feature store for machine learning.
f2e-awesome/knowledge
Comprehensive frontend technology knowledge base for learning and advancing front-end engineering skills.
apple/ml-cvnets
A computer vision library for training and deploying deep learning models, with support for popular datasets and tasks.
guanshuicheng/invoice
A deep learning-powered invoice processing platform built with Python, Flask, and Keras/TensorFlow.
iamshaunjp/Complete-React-Tutorial
A comprehensive tutorial for learning the React.js library, covering all the fundamentals.
patterns-ai-core/langchainrb
A Ruby library that provides a powerful set of tools for building LLM-powered applications.
gokceneraslan/awesome-deepbio
A curated list of deep learning applications in computational biology, useful for bioinformatics developers.
davda54/sam
SAM is a PyTorch-based library that implements Sharpness-Aware Minimization, an optimization algorithm for training more robust deep learning models.
bhnddowinf/vuejs-learn
This is a repository that provides video tutorials and code examples for learning Vue.js, the popular JavaScript framework for building user interfaces.
endymecy/spark-ml-source-analysis
An open-source project that provides in-depth analysis of the source code and algorithms behind Spark's ML library.
mdn/translated-content
Community-maintained translations of MDN Web Docs in multiple languages to learn and contribute in your native language.
kyclark/command-line-rust
A library for learning and building command-line applications in the Rust programming language.
WenjieDu/PyPOTS
A Python toolkit for building machine/deep learning models on partially-observed time series data
bytewax/bytewax
Bytewax is a Python library for building scalable, fault-tolerant, and low-latency data processing pipelines.
hkchengrex/XMem
An ECCV 2022 paper on long-term video object segmentation using an Atkinson-Shiffrin memory model.
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.
ytzfhqs/AAAMLP-CN
A Chinese translation of the book 'Approaching (Almost) Any Machine Learning Problem'.
philipperemy/tensorflow-1.4-billion-password-analysis
Deep learning model to analyze a large corpus of clear text passwords.
agavrel/42_CheatSheet
A comprehensive guide to C programming, a tribute to Dennis Ritchie's language, for 42 school students.
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