stealth-alex

ann-benchmarks

Benchmarks of approximate nearest neighbor libraries in Python

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-fastai

collection of fastai resources: blog posts, twitter threads etc.

awesome-functional-python

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-quantum-computing

A curated list of awesome quantum computing learning and developing resources.

best-of-jupyter

Jupyter Tips, Tricks, Best Practices with Sample Code for Productivity Boost

course-mipt-diving-in-python

Курс "Погружение в Python" от МФТИ

DataSciencePython

common data analysis and machine learning tasks using python

ecu_diagnostics

A Rust crate for ECU diagnostic protocols (UDS / KWP)

fastai

The fast.ai deep learning library, lessons, and tutorials

fastai-lessons-russian

Course Fast AI (http://course.fast.ai/start.html)

fastbook

Draft of the fastai book

fastText

Library for fast text representation and classification.

GIMXreWASD

hmtl

🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP

MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations

mlcourse.ai

Open Machine Learning Course

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

NLP-with-Python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

nlppapers

A list of notes about NLP papers

quantum-docs-pr

Rust

All Algorithms implemented in Rust

spaCy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

state_vector_emulator_rs

textacy

NLP, before and after spaCy

transformer-xl

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

vvedenie-mashinnoe-obuchenie

:memo: Подборка ресурсов по машинному обучению