NumPy

Fire Detection UAVAlirezaShamsoshoara/Fire-Detection-UAV-Aerial-Image-Classification-Segmentation-UnmannedAerialVehicle

FLAME dataset and deep learning models for fire detection in aerial imagery using UAVs, supporting classification and segmentation tasks.

jax-cosmoDifferentiableUniverseInitiative/jax_cosmo

A differentiable cosmology library built with JAX for automatic differentiation of cosmological calculations.

scikit-rvmJamesRitchie/scikit-rvm

A scikit-learn compatible Python implementation of the Relevance Vector Machine for sparse Bayesian learning.

AtomAIpycroscopy/atomai

A PyTorch-based Python package for deep and machine learning analysis of microscopy data, designed for domain scientists.

Gammatonedetly/gammatone

A Python toolkit for generating gammatone-based spectrograms using perceptual models of human hearing.

trading-rlKostis-S-Z/trading-rl

Deep reinforcement learning framework for financial trading using price trailing, implemented with Keras-RL for Forex markets.

dmshmeshpro/dmsh

A pure Python mesh generator for 2D geometries, inspired by distmesh, with a user-friendly interface and high-quality output.

AICSImageIOAllenCellModeling/aicsimageio

A Python library for reading, writing, and converting microscopy image formats with support for OME-TIFF, CZI, ND2, and more.

Optimal Transport Toolsgoogle-research/ott

A Python toolbox for solving optimal transport problems with JAX-powered computational efficiency.

Rosettacolumbia-applied-data-science/rosetta

A Python toolkit for text-focused data science on medium-sized datasets, bridging memory and cluster-scale processing.

Sudo-Productivitykyle8998/Sudo-Productivity

A humorous suite of scripts that simulate productivity tools to make users appear busy while slacking off.

topojson for Pythonmattijn/topojson

A Python library for encoding spatial data into the TopoJSON format, reducing file sizes through topology computation and simplification.

lidar_super_resolutionRobustFieldAutonomyLab/lidar_super_resolution

A simulation-based deep learning approach to enhance the resolution of 3D lidar point clouds for ground vehicles.

orthopysigma-py/orthopy

A Python library providing orthogonal polynomial classes for lines, triangles, disks, spheres, n-cubes, and nD spaces with stable recurrence schemes.

Pantheraalanmarazzi/panthera

A Clojure library providing data-frames and arrays through Python's pandas and numpy.

climinBRML/climin

A Python package providing gradient-based optimizers specifically designed for machine learning scenarios.

stochastic-rsrust-dd/stochastic-rs

A high-performance Rust library for simulating stochastic processes, with applications in quantitative finance, statistical modeling, and synthetic data generation.

map2gazeboshilohc/map2gazebo

ROS package that converts 2D occupancy grid maps into 3D Gazebo simulation environments with obstacle meshes.

rdeditorEBjerrum/rdeditor

A simple, open-source graphical molecule editor built with RDKit and PySide6 for chemical structure drawing and editing.

autogenu-jupytermayataka/autogenu-jupyter

An automatic code generator and C/GMRES-based solvers for nonlinear model predictive control (NMPC) in Jupyter.

CloudVolumeseung-lab/cloud-volume

A Python library for serverless, random-access reading and writing of Neuroglancer Precomputed format volumes, meshes, and skeletons.

bayesloopchristophmark/bayesloop

A Python probabilistic programming framework for objective model selection in time-varying parameter time series models.

neurolabzueve/neurolab

A simple and powerful neural network library for Python with a MATLAB-like API and flexible configuration.

pyTSEBhectornieto/pyTSEB

A Python implementation of Two Source Energy Balance models for estimating evapotranspiration using remote sensing data.

TradzQAIkkuette/TradzQAI

A trading environment for reinforcement learning agents, supporting backtesting, live trading, and multiple RL algorithms.

TransformerCPIlifanchen-simm/transformerCPI

A deep learning model using transformer architecture to predict compound-protein interactions from molecular and protein sequences.

DrugBANpeizhenbai/DrugBAN

A deep bilinear attention network framework with adversarial domain adaptation for interpretable drug-target interaction prediction.

MxNet.Sharptech-quantum/MxNet.Sharp

.NET Standard bindings for Apache MXNet, providing C# developers with NumPy-compatible APIs for machine learning model development, training, and deployment.

Attentive Object Trackingakosiorek/hart

A TensorFlow implementation of hierarchical attentive recurrent neural networks for single object tracking in videos.

quantecon_nyu_2016jstac/quantecon_nyu_2016

A PhD-level course on computational economics covering Python, Julia, and economic modeling techniques.

Deep Belief Nets for Topic Modelinglarsmaaloee/deep-belief-nets-for-topic-modeling

A Python toolbox using deep belief networks for topic modeling on document data, producing latent representations for content-based recommendation.

phystjanpipek/physt

A Python histogram library offering updateable, semantic histogram objects with multiple visualization backends and data source support.

windMLcigroup-ol/windml

A Python framework for accessing wind data sources and performing renewable energy forecasting and prediction.

Torch7 Tutorialsclementfarabet/ipam-tutorials

Tutorial materials for the 2012 IPAM Graduate Summer School on Deep Learning and Feature Learning using Theano and Torch.

Human-Activity-Recognitionma-shamshiri/Human-Activity-Recognition

A machine learning project comparing topological and statistical feature extraction for classifying human activities from smartphone and smartwatch sensor data.

scikit-mdrEpistasisLab/scikit-mdr

A scikit-learn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.