Keras

CSBDeepCSBDeep/CSBDeep

A Python toolbox for content-aware restoration of fluorescence microscopy images using deep learning.

DeepDTAhkmztrk/DeepDTA

Deep learning model using convolutional neural networks to predict drug-target binding affinity from protein sequences and compound SMILES.

CNN_kerasskyduy/CNN_keras

A convolutional neural network for CAPTCHA recognition using Keras and PyTorch.

HMM in TensorFlowdwiel/tensorflow_hmm

TensorFlow and NumPy implementations of HMM Viterbi and forward/backward algorithms for sequence modeling.

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.

GWU: Data Mining (Decision Sciences 6279)jphall663/GWU_data_mining

Course materials for GWU's Data Mining and Machine Learning classes covering preprocessing, modeling, and practical Kaggle applications.

Stackingikki407/stacking

A Python library for stacked generalization (ensemble learning) that supports scikit-learn, XGBoost, and Keras models with out-of-fold prediction saving.

trading-rlKostis-S-Z/trading-rl

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

CAPTCHA-breakinglllcho/CAPTCHA-breaking

A Python-based CAPTCHA breaking solution using Keras and OpenCV, developed for a data science competition.

Usiigacioist/usiigaci

A semi-automated pipeline for instance-aware cell segmentation, tracking, and migration analysis in phase contrast microscopy using Mask R-CNN.

captcha_crackerchxj1992/captcha_cracker

A convolutional neural network model built with Keras for recognizing captcha images generated by the Laravel Captcha library.

lidar_super_resolutionRobustFieldAutonomyLab/lidar_super_resolution

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

R-Net-in-KerasYerevaNN/R-NET-in-Keras

A Keras implementation of Microsoft's R-NET neural network for question answering on the SQuAD dataset.

max-audio-classifierIBM/MAX-Audio-Classifier

A deep learning model that classifies sounds in 10-second audio clips into 527 categories from the AudioSet ontology.

open-solution-toxic-commentsneptune-ml/open-solution-toxic-comments

An open-source starter solution for the Kaggle Toxic Comment Classification Challenge, providing ready-to-use machine learning pipelines for detecting online harassment.

Image-to-Image Translation with Conditional Adversarial NetworkswilliamFalcon/pix2pix-keras

Keras implementation of Pix2pix for image-to-image translation using conditional adversarial networks.

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.

Introduction to Deep Learning Using Python (GitHub)rouseguy/intro2deeplearning

A hands-on workshop introducing deep learning concepts with practical examples using neural networks, CNNs, RNNs, and autoencoders.

L2XJianbo-Lab/L2X

A method for selecting interpretable feature subsets from complex models using mutual information optimization.

Hyperopt for a Keras CNN on CIFAR-100guillaume-chevalier/Hyperopt-Keras-CNN-CIFAR-100

A tutorial and demo using Hyperopt to auto-optimize CNN architecture and hyperparameters for the CIFAR-100 dataset with Keras/TensorFlow.

Deep Learning for Biologists with Kerastotti0223/deep_learning_for_biologists_with_keras

A collection of Google Colab tutorials teaching biologists how to apply deep learning with Keras to real-world biological and agricultural problems.

Ladder Networkdivamgupta/ladder_network_keras

A Keras implementation of Ladder Networks for semi-supervised learning, achieving 98% accuracy on MNIST with only 100 labeled examples.

Urbansprawllgervasoni/urbansprawl

An open-source framework for calculating spatial urban sprawl indices and performing disaggregated population estimates using OpenStreetMap data.

max-weather-forecasterIBM/MAX-Weather-Forecaster

A TensorFlow/Keras LSTM model for hourly weather forecasting, offering univariate, multivariate, and multistep prediction modes.

PeaxNovartis/peax

Interactive visual pattern search and exploration tool for epigenomic data using unsupervised deep representation learning.

Kaggle Dogs vs. Catskastnerkyle/kaggle-dogs-vs-cats

Code for the Kaggle Dogs vs. Cats image classification competition using deep learning.

Map/Reduce implementations of common ML algorithmsYannael/BigDataAnalytics_INFOH515

Jupyter notebooks for hands-on Big Data Analytics exercise classes covering Spark ML, Map/Reduce algorithms, and deep learning.

Keras4DelphiPigrecos/Keras4Delphi

A high-level neural networks API for Delphi, written in Pascal with Python binding and support for TensorFlow, CNTK, or Theano backends.

CoreML-samplesytakzk/CoreML-samples

Sample code demonstrating Core ML integration with ResNet50 and custom models converted via coremltools.

Auralisationkeunwoochoi/Auralisation

Auralisation tool for visualizing learned features in convolutional neural networks applied to audio spectrograms.

Sarus TF2 Modelssarus-tech/tf2-published-models

A collection of classical machine learning models implemented with TensorFlow 2 and Keras, featuring TensorBoard visualizations.

Keras GPT Copilotfabprezja/keras-gpt-copilot

A Python package that integrates an LLM copilot into Keras model development to provide performance improvement suggestions.

max-inception-resnet-v2IBM/MAX-Inception-ResNet-v2

A pre-trained deep learning model for image classification that identifies 1000 object classes using the Inception-ResNet-v2 architecture.

max-breast-cancer-mitosis-detectorIBM/MAX-Breast-Cancer-Mitosis-Detector

A deep learning model that detects mitosis in breast cancer tumor cell images to assist in tumor proliferation scoring.

max-named-entity-taggerIBM/MAX-Named-Entity-Tagger

A named entity recognition model that locates and tags entities like persons, locations, and organizations in text using a neural network.

adamsTheAdamProject/adams

A deep learning-based password cracking tool that uses adaptive dynamic mangling rules to reduce bias in real-world password strength modeling.