Repository Index

Bayesian optimization in PyTorch

🛠 All-in-one web-based IDE specialized for machine learning and data science.

• machine-learning
• deep-learning
• data-science
• docker

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

• machine-learning
• deep-learning
• lstm
• human-activity-recognition

Debugging, monitoring and visualization for Python Machine Learning and Data Science

• ai
• deep-learning
• deeplearning
• machine-learning

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

• mimic-iii
• critical-care
• icu
• physionet

Quantitative analysis, strategies and backtests

• quantitative-finance
• quantitative-trading
• portfolio-management
• risk-management

A library for debugging/inspecting machine learning classifiers and explaining their predictions

• scikit-learn
• machine-learning
• xgboost
• lightgbm

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

• data-science
• python
• dag
• data-engineering

TensorFlow Tutorials

• tensorflow-tutorials
• convolutional-neural-networks
• recurrent-neural-networks

Algorithms for outlier, adversarial and drift detection

• anomaly
• outlier
• concept-drift
• detection

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

• machine-learning
• python
• statistics
• scikit-learn

An interactive data visualization tool which brings matplotlib graphics to the browser using D3.

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

• high-frequency-trading
• limit-order-book
• python
• machine-learning

Handout for the tutorial "Creating publication-quality figures with matplotlib"

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

• deep-learning
• depth-prediction
• visual-odometry
• self-supervised-learning

Natural Gradient Boosting for Probabilistic Prediction

• machine-learning
• gradient-boosting
• natural-gradients
• uncertainty-estimation

Python library for interactive topic model visualization. Port of the R LDAvis package.

An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.

WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.

• rag
• ai-agents
• alignment
• debugging

The repository host gives no description.

• foundation-model
• gpt
• single-cell

Synthetic data generators for tabular and time-series data

• gan-architectures
• gan
• deep-learning
• synthetic-data

Python implementation of CMA-ES

Instructional notebooks on music information retrieval.

• ipython-notebook
• music-information-retrieval
• python
• machine-learning

Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)

• ocr
• text-detection