Stars
Lightning ⚡️ fast forecasting with statistical and econometric models.
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Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown
Better Obsidian Tables Without The Hassle
A light-weight, flexible, and expressive statistical data testing library
Always know what to expect from your data.
Search the most relevant emojis given a natural language query
A simple and efficient tool to parallelize Pandas operations on all available CPUs
Automated Machine Learning with scikit-learn
GCN and BERT for relation extraction
Studing project (dedicated to machine translation) under Aalto SNLP course
Algorithms and Data Structures course by OTUS (Java)
Python realization of Multivariate SSA
In this repository we test AutoML approaches for time-series forecasting
Session of several training sessions for ML trainings from scratch
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Missing data visualization module for Python.
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
GPU Accelerated t-SNE for CUDA with Python bindings
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)