Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
- deep-learning
- object-detection
- detection
- tracking-by-detection
Repository Index
47,133 repositories indexed
265–288 of 453 · Most stars
A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
- simulator
- unity
- game-engine
- autonomous
A curated list of community detection research papers with implementations.
- graph-clustering
- network-clustering
- clustering
- dimensionality-reduction
YOLO ROS: Real-Time Object Detection for ROS
- object-detection
- human-detection
- deep-learning
- yolo
Graph Neural Networks with Keras and Tensorflow 2.
- graph-neural-networks
- keras
- python
- tensorflow
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
An open source library and framework for deep learning on satellite and aerial imagery.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
- python
- genetic-algorithm
- optimization
- numpy
Reinforcement Learning environments based on the 1993 game Doom :godmode:
- deep-learning
- reinforcement-learning
- python
- vizdoom
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
- computer-vision
- annotate-images
- entity-recognition
- desktop
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
- deep-learning
- depth-prediction
- visual-odometry
- self-supervised-learning
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
- deep-learning
- computer-vision
- speech-recognition
- 3d-convolutional-network
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Self-contained Machine Learning and Natural Language Processing library in Go
A curated list of data mining papers about fraud detection.
- fraud-detection
- fraud-prevention
- fraud-checker
- fraud-management
Interpretability and explainability of data and machine learning models
- explainable-ai
- explainable-ml
- trusted-ai
- trusted-ml
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
BirdNET analyzer for scientific audio data processing.
- bioacoustics
- birds
- birdsong
- acoustic-monitoring
Deep probabilistic analysis of single-cell and spatial omics data
- scrna-seq
- variational-bayes
- variational-autoencoder
- cite-seq
Nx-powered Neural Networks
- nx
- elixir
- deep-learning
- neural-networks
A selection of state-of-the-art research materials on trajectory prediction
- trajectory-prediction
- trajectory-generation
- social-interactions
- behavior-prediction
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
- healthcare
- data-mining
- deep-learning
- preprocessing
An offline deep reinforcement learning library
- deep-reinforcement-learning
- deep-learning
- pytorch
- offline-rl