salman1993 Goto Github PK

ai4good-language-learning

English-French Learning

anserini

An information retrieval toolkit built on Lucene

buboqa

Simple question answering over knowledge graphs (Mohammed et al., NAACL 2018)

castor

Deep learning for information retrieval with PyTorch

clustering-demo

Build a web app to demo clustering results

cnn-text-classification-pytorch

CNNs for Sentence Classification in PyTorch

computerscience

Free technical resources for faculty, students, and Microsoft developer advocates for use in computer science learning forums.

corise_recsys_course

Project submissions for co:rise course - Personalized Recommendations at Scale

dal-online-app

The web appication for Dal Online.

data

Castorini data

datasets

A public repo of datasets

dbt-tutorial

dbt - jaffle_shop tutorial

entity_embeddings

Entity embeddings with PyTorch, Skorch and sklearn

flying-dog-beers

ghost

google-interview-university

A complete daily plan for studying to become a Google software engineer.

kaggle-european-soccer

Playing around with European Soccer dataset in Kaggle

marvin

✨ Build AI interfaces that spark joy

mlflow

Open source platform for the machine learning lifecycle

nce-cnn-torch

Noise-Contrastive Estimation for Question Answering with Convolutional Neural Networks (Rao et al. CIKM 2016)

prefect-gcp

Prefect integrations with Google Cloud Platform.

protoner

Few-shot classification in Named Entity Recognition Task

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pytorch-examples

Simple examples to introduce PyTorch

pytorch-generative-adversarial-networks

A very simple generative adversarial network (GAN) in PyTorch

r-for-data-science

Solutions to the exercises in "R for Data Science" by Hadley Wickham.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rnn-tutorial

A tutorial on Recurrent Neural Networks - University of Waterloo - DSG Meeting

salman1993.github.io

Personal site/blog

transformersum

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.