Math.NET Numerics
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Repository Index
47,133 repositories indexed
1–17 of 17 · Most stars
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
- deep-learning
- depth-prediction
- visual-odometry
- self-supervised-learning
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.).
A curated list of data mining papers about fraud detection.
- fraud-detection
- fraud-prevention
- fraud-checker
- fraud-management
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
- robotics
- tracking
- computer-vision
- pose-estimation
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
- python3
- data-science
- machine-learning
- python
Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark
- text-recognition
- ocr-recognition
- domain-adaptation
- multi-source-domain-adaptation
Practical volume computation and sampling in high dimensions
- geometry
- statistics
- polyhedral-computations
- random-walk
3D Data Driven Charting Library with D3 and X3D
100% open-source, AI-native web analytics with cookieless tracking, open exports, custom domains, and SSO—self-hosted as one Go binary or managed in EU/US cloud.
- analytics
- go
- ai-analytics
- ai-visibility
Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory
Generate random crop fields for Ignition Gazebo
MCP server for spatial transcriptomics analysis through natural language interfaces.
- bioinformatics
- cell-communication
- deconvolution
- machine-learning
GoStats is a go library for math statistics mostly used in ML domains, it covers most of the statistical measures functions.
- golang
- go
- machine-learning
- stats
Single Image Random Dot Stereogram for Tensorflow
- tensorflow
- jupyter-notebook
- 3d-reconstruction
- stereogram-creator
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.