TensorFlow

Robustness Metricsgoogle-research/robustness_metrics

Lightweight Python library for evaluating classification model robustness across out-of-distribution generalization, stability, and uncertainty metrics.

Basenjicalico/basenji

A deep learning toolkit for predicting regulatory activity, 3D genome folding, and mRNA half-life from DNA/RNA sequences.

GitHub RepoMindorksOpenSource/AndroidTensorFlowMNISTExample

An Android example project demonstrating TensorFlow integration for handwritten digit recognition using the MNIST dataset.

Model Card Toolkittensorflow/model-card-toolkit

A toolkit that streamlines and automates the generation of model cards for machine learning models.

CameraRadarFusionNetTUMFTM/CameraRadarFusionNet

A neural network for object detection using multi-level fusion of camera and radar data, built on Keras RetinaNet.

SimGAN-Captcharickyhan/SimGAN-Captcha

An AI-powered captcha solver using SimGAN to generate synthetic training data without manual labeling.

Computer Vision Basics with Python Keras and OpenCVjrobchin/Computer-Vision-Basics-with-Python-Keras-and-OpenCV

A comprehensive Jupyter notebook tutorial covering computer vision and machine learning basics using OpenCV and Keras in Python.

the-elements-of-statistical-learningmaitbayev/the-elements-of-statistical-learning

Jupyter notebooks implementing algorithms, proofs, and summaries from 'The Elements of Statistical Learning' textbook.

Crop Yield PredictionJiaxuanYou/crop_yield_prediction

Deep learning models for crop yield prediction using remote sensing data, with CNN/LSTM and Gaussian Process approaches.

LotteryPredictchengstone/LotteryPredict

A practical demo using LSTM neural networks with TensorFlow to predict lottery numbers.

DeepLearningNotesAlphaSmartDog/DeepLearningNotes

A collection of open-source machine learning and quantitative analysis models implemented in TensorFlow and PyTorch.

Neuriteadalca/neurite

A neural networks toolbox for medical image analysis, providing specialized layers, models, and utilities for TensorFlow/Keras.

AugmentedAutoencoderDLR-RM/AugmentedAutoencoder

A real-time RGB-based pipeline for object detection and 6D pose estimation using a denoising autoencoder trained on simulated 3D views.

Weakly_detectorjazzsaxmafia/Weakly_detector

TensorFlow implementation of weakly-supervised object localization using only image-level labels, without bounding box annotations.

End-To-End Memory Networksdomluna/memn2n

A TensorFlow implementation of End-To-End Memory Networks with a scikit-learn-like interface for bAbI tasks.

CSBDeepCSBDeep/CSBDeep

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

Deep stacked residual bidirectional LSTMs for HARguillaume-chevalier/HAR-stacked-residual-bidir-LSTMs

A deep learning architecture using stacked residual bidirectional LSTM cells with TensorFlow for human activity recognition from sensor data.

Tensorflow FastTextapcode/tensorflow_fasttext

A TensorFlow implementation of fastText for embedding-based text classification with support for character ngrams and distributed training.

DeepDTAhkmztrk/DeepDTA

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

max-object-detectorIBM/MAX-Object-Detector

A TensorFlow-based object detection model that localizes and identifies multiple objects in images using SSD MobileNet V1 or Faster R-CNN ResNet101.

HMM in TensorFlowdwiel/tensorflow_hmm

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

AgMLProject-AgML/AgML

A centralized Python framework for agricultural machine learning, providing access to public datasets, benchmarks, pretrained models, and synthetic data generation.

GPflowOptGPflow/GPflowOpt

A Python library for Bayesian optimization using GPflow and TensorFlow, designed for optimizing expensive black-box functions.

anonymizerunderstand-ai/anonymizer

An open-source tool to detect and blur faces and license plates in images for privacy compliance, using TensorFlow object detection.

PyODDSdatamllab/pyodds

An end-to-end Python outlier detection system with database support, automated machine learning, and unified APIs for statistical, ML, and deep learning models.

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.

Neural machine translation between the writings of Shakespeare and modern English using TensorFlowtokestermw/tensorflow-shakespeare

Neural machine translation between Shakespearean and modern English using TensorFlow.

Borzoicalico/borzoi

A deep convolutional neural network that predicts RNA-seq coverage at 32bp resolution from DNA sequence.

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.

Calibnetepiception/CalibNet

A self-supervised deep learning model for extrinsic calibration between LiDAR and camera sensors using 3D spatial transformer networks.

trading-rlKostis-S-Z/trading-rl

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

DBNetdriving-behavior/DBNet

A large-scale driving behavior dataset with LiDAR point clouds, dashboard videos, and sensor data for autonomous driving research.

TGenUFAL-DSG/tgen

A statistical natural language generator for spoken dialogue systems, supporting both A*-search and seq2seq algorithms.

Usiigacioist/usiigaci

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

Chinese-Character-Recognitionsoloice/Chinese-Character-Recognition

A TensorFlow CNN implementation for Chinese character recognition, achieving 92.5% top-1 accuracy with batch normalization.

NesTgoogle-research/nested-transformer

A vision transformer architecture that aggregates nested local transformers on image blocks for better accuracy, data efficiency, and convergence.