NumPy

Introduction to Machine Learning with Pythonamueller/introduction_to_ml_with_python

Code and Jupyter notebooks for the book 'Introduction to Machine Learning with Python' by Andreas Mueller and Sarah Guido.

AlphaFold3google-deepmind/alphafold3

AlphaFold 3 is an AI model that predicts the 3D structures of proteins and their interactions with other biomolecules like DNA, RNA, and ligands.

Claude Code Usage MonitorMaciek-roboblog/Claude-Code-Usage-Monitor

A real-time terminal monitoring tool for Claude AI token usage with ML-based predictions, cost analysis, and a Rich UI.

Featuretoolsfeaturetools/featuretools

An open-source Python library for automated feature engineering using Deep Feature Synthesis.

autogradHIPS/autograd

Automatically differentiate native Python and NumPy code for gradient-based optimization and machine learning.

TensorLayertensorlayer/tensorlayer

A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers with customizable neural layers.

Policy Gradientzsdonghao/tensorlayer

A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers, offering customizable neural layers.

DeepMind Labdeepmind/lab

A customizable 3D platform based on Quake III for agent-based AI and deep reinforcement learning research.

InterpretMLinterpretml/interpret

An open-source Python package for training interpretable glassbox models and explaining blackbox machine learning systems.

SurpriseNicolasHug/Surprise

A Python scikit for building and analyzing recommender systems that handle explicit rating data.

DeepChemdeepchem/deepchem

An open-source Python library for applying deep learning to drug discovery, materials science, quantum chemistry, and biology.

Scikit-imagescikit-image/scikit-image

A comprehensive library for image processing in Python with algorithms for segmentation, filtering, morphology, and feature detection.

deapdeap/deap

A Python framework for rapid prototyping and testing of evolutionary algorithms, including genetic algorithms, genetic programming, and evolution strategies.

deapDEAP/deap

A Python framework for rapid prototyping and testing of evolutionary algorithms, including genetic algorithms, genetic programming, and evolution strategies.

NuPicnumenta/nupic

An open-source implementation of Hierarchical Temporal Memory (HTM) for anomaly detection and prediction of streaming data.

TensorTradetensortrade-org/tensortrade

An open-source Python framework for building, training, and evaluating reinforcement learning agents for algorithmic trading.

YOLO TensorFlow ++thtrieu/yolotf

A TensorFlow implementation of YOLO for real-time object detection, supporting weight conversion, training, and mobile deployment.

TensorFlow tutorialsnlintz/TensorFlow-Tutorials

A collection of simple tutorials introducing deep learning concepts using Google's TensorFlow framework.

MMdnnMicrosoft/MMdnn

A comprehensive toolset for converting, visualizing, and managing deep learning models across multiple frameworks like TensorFlow, PyTorch, and Caffe.

Sentence Classification with CNNdennybritz/cnn-text-classification-tf

A TensorFlow implementation of a convolutional neural network for sentence classification based on Yoon Kim's paper.

tf-quant-financegoogle/tf-quant-finance

A high-performance TensorFlow library for quantitative finance, providing mathematical methods, pricing models, and calibration tools.

Have Fun With Machine Learninghumphd/have-fun-with-machine-learning

A hands-on beginner's guide to machine learning and image classification using Caffe and DIGITS with neural networks.

LightFMlyst/lightfm

A Python library implementing hybrid recommendation algorithms with metadata support for both implicit and explicit feedback.

The Quantum KatasMicrosoft/QuantumKatas

A collection of self-paced tutorials and programming exercises for learning quantum computing and Q#.

Quantum KatasMicrosoft/QuantumKatas

A collection of self-paced tutorials and programming exercises for learning Q# and quantum computing concepts.

imutilsjrosebr1/imutils

A collection of convenience functions to simplify common image processing tasks with OpenCV and Python.

PyQtGraphpyqtgraph/pyqtgraph

A pure-Python graphics library for fast data visualization and GUI tools in scientific and engineering applications.

pattern_classificationrasbt/pattern_classification

A comprehensive collection of tutorials, examples, and resources for understanding and solving machine learning and pattern classification problems.

missingnoResidentMario/missingno

A Python library for visualizing missing data in pandas DataFrames using matrix, bar, heatmap, and dendrogram plots.

xarraypydata/xarray

A Python package for working with labeled multi-dimensional arrays, inspired by pandas and tailored for scientific data.

[Web]goodfeli/adversarial

Original implementation and hyperparameters for the 2014 paper "Generative Adversarial Networks" (GANs).

kungfutaurusai/kungfu

An open-source, low-latency trading execution system for quantitative traders, supporting Python and C++ strategies.

bqplotbloomberg/bqplot

Interactive 2-D plotting library for Jupyter notebooks using the Grammar of Graphics and widget-based components.

bqplotbqplot/bqplot

Interactive 2-D plotting library for Jupyter notebooks using the Grammar of Graphics and widget-based components.

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.

Classification on raw time series in TensorFlow with a LSTM RNNguillaume-chevalier/LSTM-Human-Activity-Recognition

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