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[Book-2021] Practical MLOps O'Reilly Book
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
A notes for Recommender System Handbook.
Solutions to Recommender Systems competitions
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Code associated with the Don't Stop Pretraining ACL 2020 paper
PySpark Cheat Sheet - example code to help you learn PySpark and develop apps faster
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
An implementation of differential dataflow using timely dataflow on Rust.
Share some recent speaker recognition papers and their implementations.
working example of a contextual multi-armed bandit
Code for STFT Transformer used in BirdCLEF 2021 competition.
Collection of reinforcement learning algorithms
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
A Python scikit for building and analyzing recommender systems
The PyTorch-based audio source separation toolkit for researchers
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
🐶 Automated code review tool integrated with any code analysis tools regardless of programming language
A flexible, intuitive and fast forecasting library
A collection of various deep learning architectures, models, and tips
Vowpal Wabbit examples and tutorials
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.