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📚 Freely available programming books
scikit-learn: machine learning in Python
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
Best Practices on Recommendation Systems
Pure Python 3 MTProto API Telegram client library, for bots too!
common data analysis and machine learning tasks using python
A Python implementation of LightFM, a hybrid recommendation algorithm.
A unified, comprehensive and efficient recommendation library
Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
Pre-trained word vectors of 30+ languages
A python tool for evaluating the quality of sentence embeddings.
Part of my daily plan for studying Python.
This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.
Composable GAN framework with api and user interface
Theano-based implementation of Deep Q-learning
Algorithms and data structures for review for coding interview.
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
Examples for https://github.com/optuna/optuna
Nimfa: Nonnegative matrix factorization in Python
A set of useful tools for competitive data science.