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
Repository Index
47,133 repositories indexed
649–672 of 1,352 · Most stars
Python Stream Processing
- python
- stream-processing
- rust
- data-engineering
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
- satellite-imagery
- aerial-imagery
- machine-learning
- segmentation
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
- deep-learning
- depth-prediction
- visual-odometry
- self-supervised-learning
Build LLM-powered applications in Ruby
Elyra extends JupyterLab with an AI centric approach.
- notebooks
- notebook-jupyter
- jupyterlab
- jupyterlab-extensions
Build a system, load it until it breaks, and watch why. A system design simulator for learning distributed systems.
Web labeling tool for bitmap images and point clouds
- labeling-tool
- machine-learning
- manual-annotations
- semantic-segmentation
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
- network-analysis
- spatial-analysis
- geographical-information-system
- graph-neural-networks
Jump helps you navigate faster by learning your habits. ✌️
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
A curated list of awesome adversarial machine learning resources
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
- deep-learning
- computer-vision
- speech-recognition
- 3d-convolutional-network
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
- visualization
- python3
- python
- xgboost
Natural Gradient Boosting for Probabilistic Prediction
- machine-learning
- gradient-boosting
- natural-gradients
- uncertainty-estimation
Genetic Programming in Python, with a scikit-learn inspired API
- genetic-programming
- machine-learning
- python
- scikit-learn
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.).
Curated reverse-engineering tools and learning resources for binaries, apps, firmware, formats, and protocols.
- awesome-list
- binary-analysis
- ghidra
- malware-analysis
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
Self-contained Machine Learning and Natural Language Processing library in Go
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
Learning eBPF, published by O'Reilly - out now! Here's where you'll find a VM config for the examples, and more
- ebpf
- ebpf-co-re
- linux-kernel
A curated list of data mining papers about fraud detection.
- fraud-detection
- fraud-prevention
- fraud-checker
- fraud-management