🛠 All-in-one web-based IDE specialized for machine learning and data science.
Repository Index
47,133 repositories indexed
49–72 of 113 · Most stars
Debugging, monitoring and visualization for Python Machine Learning and Data Science
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
- templates
- opensource
- naas
- notebooks-templates
A library for debugging/inspecting machine learning classifiers and explaining their predictions
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
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Python Productivity for ZYNQ
- pynq
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
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.
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
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
- jupyter-notebook
- pandas
- federal-reserve
- gdp
CatBoost tutorials repository
- catboost
- tutorials
- ipython-notebook
- ipython
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
- seq2seq
- tensorflow
- tensorflow-tutorials
- python
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
Introduction to Statistics using Python
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
Markdown <=> IPython Notebook
python partial dependence plot toolbox
A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations
Python API for Deequ
A Python library for introductory data science