NumPy

LSTM for Human Activity Recognitionguillaume-chevalier/LSTM-Human-Activity-Recognition

Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.

PyBrokeredtechre/pybroker

A Python framework for developing and backtesting algorithmic trading strategies with machine learning.

flownet2-pytorchNVIDIA/flownet2-pytorch

PyTorch implementation of FlowNet 2.0 for optical flow estimation using deep neural networks.

mljar-supervisedmljar/mljar-supervised

An Automated Machine Learning Python package for tabular data with feature engineering, hyperparameter tuning, explanations, and automatic documentation.

tslearnrtavenar/tslearn

A Python machine learning toolkit for time series analysis with scikit-learn compatible API.

StellarGraphstellargraph/stellargraph

A Python library for machine learning on graphs and networks, offering state-of-the-art algorithms for tasks like node classification and link prediction.

FinancePydomokane/FinancePy

A Python library for pricing and risk management of financial derivatives including fixed-income, equity, FX, and credit derivatives.

ChatbotConchylicultor/DeepQA

A TensorFlow implementation of a neural conversational model (seq2seq) for building deep learning chatbots.

thincexplosion/thinc

A lightweight deep learning library with a functional API for composing models, compatible with PyTorch, TensorFlow, and MXNet.

POTrflamary/POT

A comprehensive Python library for solving optimal transport problems with solvers for linear, entropic, Gromov-Wasserstein, and unbalanced OT, plus machine learning applications.

captcha_breakypwhs/captcha_break

A deep learning project using Keras to build convolutional and recurrent neural networks for high-accuracy captcha recognition.

Proof of concept for loading Caffe models in TensorFlowethereon/caffe-tensorflow

Convert Caffe deep learning models to TensorFlow format for deployment and inference.

NumPyropyro-ppl/numpyro

A lightweight probabilistic programming library using NumPy and JAX for autograd and JIT compilation to GPU/TPU/CPU.

naparinapari/napari

A fast, interactive, multi-dimensional image viewer for Python designed for browsing, annotating, and analyzing large scientific images.

lifelinesCamDavidsonPilon/lifelines

A pure Python library for survival analysis, modeling time-to-event data with censoring.

Sungjoon's TensorFlow-101sjchoi86/Tensorflow-101

A collection of beginner-friendly TensorFlow tutorials using Jupyter Notebook, covering deep learning fundamentals and practical applications.

hyperlearndanielhanchen/hyperlearn

HyperLearn provides 2-2000x faster machine learning algorithms with 50% less memory usage, optimized for all hardware.

modALcosmic-cortex/modAL

A modular active learning framework for Python built on scikit-learn, enabling rapid creation of custom workflows.

modALmodAL-python/modAL

A modular active learning framework for Python built on scikit-learn, enabling rapid creation of custom workflows.

meshionschloe/meshio

A Python library for reading, writing, and converting between many mesh file formats used in scientific computing.

SGX-Full-OrderBook-Tick-Data-Trading-Strategyrorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy

A machine learning framework for developing high-frequency trading strategies using full orderbook tick data.

audiomentationsiver56/audiomentations

A Python library for audio data augmentation to improve the robustness of audio machine learning models.

CellposeMouseLand/cellpose

A generalist algorithm for cellular segmentation with human-in-the-loop training and superhuman generalization across diverse microscopy images.

Hyperasmaxpumperla/hyperas

A simple wrapper that combines Keras and Hyperopt for convenient hyperparameter optimization in deep learning models.

cvxpylayerscvxgrp/cvxpylayers

A Python library for constructing differentiable convex optimization layers in PyTorch, JAX, and MLX using CVXPY.

garage - A toolkit for reproducible reinforcement learning researchrlworkgroup/garage

A toolkit and library for developing, evaluating, and reproducing reinforcement learning algorithms.

qutipqutip/qutip

An open-source Python toolbox for simulating the dynamics of closed and open quantum systems.

SDF Mesh Generationfogleman/sdf

A Python library for generating 3D meshes from signed distance functions (SDFs) with a simple API.

Open source Python module for computer visionjesolem/PCV

A pure Python computer vision library based on the book 'Programming Computer Vision with Python'.

A recurrent neural network designed to generate classical music.hexahedria/biaxial-rnn-music-composition

A recurrent neural network that generates classical music using LSTM layers and convolutional-inspired architecture.

pymattingpymatting/pymatting

A Python library implementing multiple alpha matting algorithms for extracting foreground objects from images.

TradingGymYvictor/TradingGym

A Python toolkit for training reinforcement learning agents and backtesting rule-based algorithms in financial markets.

Webmpatacchiola/deepgaze

A computer vision library for human-computer interaction, focusing on head pose estimation, gaze direction, skin detection, motion tracking, and saliency mapping using CNNs.

ProteinMPNNdauparas/ProteinMPNN

A deep learning model for protein sequence design that generates amino acid sequences for given protein backbones.

bCNCvlachoudis/bCNC

A cross-platform CNC command sender, autoleveler, g-code editor, and CAM tool for GrblHAL and GRBL firmware.

thinking bayesAllenDowney/ThinkBayes

Python code and examples for Bayesian statistics from the book 'Think Bayes: Bayesian Statistics Made Simple'.