Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!

Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking, Similiarity, Biased vs. Unbiased Paradigms: Content-based, Collaborative filtering, Knowledge-based, Hybrid and Ensembles Data: Tabular, Images, Text (Sequences) Models: (Deep) Matrix Factorisation, Auto-Encoders, Wide & Deep, Rank-Learning, Sequence Modelling Methods: Explicit vs. implicit feedback, User-Item matrix, Embeddings, Convolution, Recurrent, Domain Signals: location, time, context, social, Process: Setup, Encode & Embed, Design, Train & Select, Serve & Scale, Measure, Test & Improve Tools: python-data-stack: numpy, pandas, scikit-learn, keras, spacy, implicit, lightfm Notes & Slides Basics: Deep Learning AI Conference 2019: WhiteBoard Notes | In-Class Notebooks Notebooks Movies - Movielens 01-Acquire 02-Augment 03-Refine 04-Transform 05-Evaluation 06-Model-Baseline 07-Feature-extractor 08-Model-Matrix-Factorization 09-Model-Matrix-Factorization-with-Bias 10-Model-MF-NNMF 11-Model-Deep-Matrix-Factorization 12-Model-Neural-Collaborative-Filtering 13-Model-Implicit-Matrix-Factorization 14-Features-Image 15-Features-NLP Ecommerce - YooChoose 01-Data-Preparation 02-Models News - Hackernews Product - Groceries Python Libraries Deep Recommender Libraries Tensorrec - Built on Tensorflow Spotlight - Built on PyTorch TFranking - Built on TensorFlow (Learning to Rank) Matrix Factorisation Based Libraries Implicit - Implicit Matrix Factorisation QMF - Implicit Matrix Factorisation Lightfm - For Hybrid Recommedations Surprise - Scikit-learn type api for traditional alogrithms Similarity Search Libraries Annoy - Approximate Nearest Neighbour NMSLib - kNN methods FAISS - Similarity search and clustering Learning Resources Reference Slides Deep Learning in RecSys by Balázs Hidasi Lessons from Industry RecSys by Xavier Amatriain Architecting Recommendation Systems by James Kirk Recommendation Systems Overview by Raimon and Basilico Benchmarks MovieLens Benchmarks for Traditional Setup Microsoft Tutorial on Recommendation System at KDD 2019 Algorithms & Approaches Collaborative Filtering for Implicit Feedback Datasets Bayesian Personalised Ranking for Implicit Data Logistic Matrix Factorisation Neural Network Matrix Factorisation Neural Collaborative Filtering Variational Autoencoders for Collaborative Filtering Evaluations Evaluating Recommendation Systems

Develop DL models using Pytorch and Hugging Face

WorkshopDL - A Steam Workshop Downloader

Deep Learning Workshop for Data Science Go Virtual Event Summer 2020

4-5 days workshop from development to deploy (Deep Learning, tensorlfow, keras, mlflow, docker, ...)

Deep learning workshop @ SNU

The materials for the Deep Learning in Biology workshop put on by Alex Lee, David Nicholson, and Ben Heil

ML/DL training workshops for EEE undergrads

Code for the Introduction to Deep Learning Workshop - Spring 2018

Intro to deep learning workshop.

DLF Forum 2019 python tools for digital collections metadata workshop

Website of the NIPS 2017 workshop: "Deep Learning: Bridging Theory and Practice"

Materials for Deep Learning Workshop

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Workshop a ML/DL con moleculas

[Practical-DL @ AAAI'23] Official code of R-Mix and RL-Mix, accepted at 2nd Practical-DL Workshop @ AAAI'23

A Workshop for ML/DL, simple tasks to show basic concepts in the filed :)

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Allows you to convert from WorkshopDL -> FastDL (NB: WorkshopDL is USUALLY faster)

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Deep Learning & Robotics workshop for the Deep Learning Institute done in partnership between NVidia and Microsoft.

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A workshop on how to prototype and expose a visual search DL model based on Siamese Mask R-CNN for PyDataFest Amsterdam 2020

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A collection of jupyter notebooks for image classification and recognition using deep transfer learning

Materials for the ODSC Masterclass session "Intro to Deep Learning"