deeplearningnrs

biobert

Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining

D2NN

DirectML

DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.

Getting-Things-Done-with-Pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

haystack

:mag: Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

huggingface-sagemaker-workshop-series

Enterprise Scale NLP with Hugging Face & SageMaker Workshop series

kgtk-notebooks

MetaRec

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

ml_things

This is where I put things I find useful that speed up my work with Machine Learning. Ever looked in your old projects to reuse those cool functions you created before? Well, this repo is designed to be a Python Library of functions I created in my previous project that can be reused. I also share some Notebooks Tutorials and Python Code Snippets.

recommenders-addons

Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.

deeplearningnrs/D2NN

deeplearningnrs/kgtk-notebooks

deeplearningnrs/recommenders-addons

Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.

deeplearningnrs/biobert

Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining

deeplearningnrs/DirectML

DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.

deeplearningnrs/Getting-Things-Done-with-Pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

deeplearningnrs/haystack

:mag: Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

deeplearningnrs/huggingface-sagemaker-workshop-series

Enterprise Scale NLP with Hugging Face & SageMaker Workshop series

deeplearningnrs/MetaRec

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

deeplearningnrs/ml_things

This is where I put things I find useful that speed up my work with Machine Learning. Ever looked in your old projects to reuse those cool functions you created before? Well, this repo is designed to be a Python Library of functions I created in my previous project that can be reused. I also share some Notebooks Tutorials and Python Code Snippets.

deeplearningnrs/nlp_workshop_odsc_europe20

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models.

deeplearningnrs/pymc

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

deeplearningnrs/question-answering-with-streamlit

Question Answering with Streamlit & HuggingFace Pipeline

deeplearningnrs/RecSysDatasets

This is a repository of public data sources for Recommender Systems (RS).

deeplearningnrs/sw-detection

Suicidal Ideation Detection in Online User Content

deeplearningnrs/Transformers4Rec

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.

deeplearningnrs/webspider

Web spider for Reddit and Experience Project

deeplearningnrs/workshops

Materials for workshops on the Hugging Face ecosystem

deeplearningnrs/xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.