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JasonKessler/scattertext

A Python library for creating beautiful visualizations of language differences across document types.

2.3K
Experimental
Python
Data Visualization
Natural Language Processing
#text-visualization#natural-language-processing#exploratory-data-analysis

google-research-datasets/Objectron

A dataset of annotated 3D object videos for training computer vision and augmented reality models.

2.3K
Archived
Jupyter Notebook
Computer Vision
Datasets
PyTorch
#3d-vision#object-detection#point-cloud

google/tangent

Tangent is a Python library for source-to-source debuggable automatic differentiation.

2.3K
Archived
Python
LLM Frameworks
CLI Tools
Python
#autodiff#automatic-differentiation#deep-learning

claimed-framework/claimed

The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.

2.3K
Active
Jupyter Notebook
AI App Builders
BaaS Platforms
React
#low-code#no-code#rapid-prototyping

extreme-assistant/ICCV2023-Paper-Code-Interpretation

A curated collection of ICCV conference papers, code, and interpretations for computer vision developers.

2.3K
Archived
Computer Vision
Tutorials & Courses
#computer-vision#deep-learning#image-recognition

fairlearn/fairlearn

A Python library to assess and improve fairness of machine learning models.

2.2K
Active
Python
Fairness, Harms, & Unfairness Mitigation
#ai#fairness#fairness-assessment

roboflow/inference

Turn any computer or edge device into a command center for your computer vision projects.

2.2K
Active
Python
Computer Vision
API Frameworks
Docker
#computer-vision#inference#object-detection

TuringLang/Turing.jl

Turing.jl is a powerful Bayesian inference library for probabilistic programming in the Julia language.

2.2K
Active
Julia
LLM Frameworks
API Frameworks
#bayesian-inference#probabilistic-programming#bayesian-statistics

feature-engine/feature_engine

Open-source Python library for feature engineering and selection, compatible with scikit-learn.

2.2K
Active
Python
Feature Engineering
ORMs & Query Builders
scikit-learn
#feature-engineering#feature-extraction#feature-selection

azavea/raster-vision

An open-source library for deep learning on satellite and aerial imagery using Python and PyTorch.

2.2K
Stable
Python
Computer Vision
Machine Learning Ops
PyTorch
#computer-vision#remote-sensing#geospatial

google-deepmind/optax

Optax is a gradient processing and optimization library for JAX, a high-performance machine learning framework.

2.2K
Active
Python
ML Ops
Build Tools
#machine-learning#optimization#jax

RubixML/ML

A high-level machine learning and deep learning library for the PHP language.

2.2K
Active
PHP
ML Ops
API Frameworks
#machine-learning#deep-learning#analytics

alibaba/EasyNLP

EasyNLP is an easy-to-use NLP toolkit for tasks like text classification, retrieval, and generation.

2.2K
Archived
Python
LLM Frameworks
ML Ops
PyTorch
#natural-language-processing#text-classification#text-generation

orico/www.mlcompendium.com

A comprehensive compendium of resources for machine learning and deep learning development.

2.2K
Experimental
LLM Frameworks
Tutorials & Courses
Gitbook
#machine-learning#deep-learning#data-science

tensorflow/tfx

TFX is an end-to-end platform for deploying production ML pipelines.

2.2K
Active
Python
ML Ops
API Frameworks
TensorFlow
#machine-learning#tensorflow#apache-beam

ahmedfgad/GeneticAlgorithmPython

PyGAD is a Python 3 library for building genetic algorithms and training machine learning models.

2.2K
Experimental
Python
Agents & Orchestration
Optimization
PyTorch
#genetic-algorithm#machine-learning#optimization

githubharald/SimpleHTR

A handwritten text recognition system implemented using TensorFlow for developers working with computer vision and OCR.

2.1K
Active
Python
Computer Vision
API Frameworks
TensorFlow
#handwritten-text-recognition#ocr#recurrent-neural-networks

cerlymarco/MEDIUM_NoteBook

A repository containing notebooks of posts on Medium, focused on AI, data science, and machine learning topics.

2.1K
Archived
Jupyter Notebook
Notebooks
Tutorials & Courses
#artificial-intelligence#data-science#deep-learning

bangoc123/learn-machine-learning-in-two-months

This GitHub repository is a comprehensive tutorial for learning machine learning in just two months, featuring Jupyter Notebooks and covering essential ML concepts.

2.1K
Archived
Jupyter Notebook
Machine Learning Tutorials
Tutorials & Courses
#machine-learning#jupyter-notebooks#python-tutorials

fugue-project/fugue

A unified interface for distributed computing on Spark, Dask and Ray without any rewrites.

2.1K
Active
Python
Databases
API Frameworks
Python
#distributed-computing#spark#dask
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