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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

bb_tasc

Data analysis by sqlite3, pandas and rabitmq

customer_seg

customer seg

deep_text_classification

LSTM Model for text classification

elmo_hebrew

embed-with-vertex

gpt-learn

hebrew_doc2vec_w2vec

Gensim Doc2Vec model with W2Vec

hebrew_tokenizer

A battle-tested Hebrew tokenizer for dirty texts (bible, twitter, opensubs) focused on multi-word expression extraction.

icv-sbr

Benchmarking of Session-based Recommendation Approaches

lightfm

lime-scooters-api

Gathering data from lime api

luminoth

Deep Learning toolkit for Computer Vision

margret

LightFm recommendation with pandas dataframe

models

Models and examples built with TensorFlow

object-detection-app

Object Detection Model (TensorFlow) Web-Based

pytorch-fm

Factorization Machine models in PyTorch

recbole

A unified, comprehensive and efficient recommendation library

rust_webserver

simple hashmap api

sagemaker-embeddings

selfgpt

A Whatsapp-bot that allows access to GPT3 while also serving as your own memory backup

sessions

spotlight

Deep recommender models using PyTorch.

spotlightexamples

Example code for my Medium article: "How to build powerful deep recommender systems using Spotlight".

torch_fm

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

unsupervised-classification

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

yap-wrapper

Python wrapper for ONLP YAP https://github.com/OnlpLab/yap