Sagar Patel's starred repositories
PlotNeuralNet
Latex code for making neural networks diagrams
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
hydbedscraper
Get hospital bed availability information for city (IN)
COVID-19-Bot
COVID-19 risk assessment app with support for 8 Indic languages.
Sahadev-The-Bot
A context based question answering bot using seq2seq model with attention.
annotated_research_papers
This repo contains annotated research papers that I found really good and useful
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
twitter-scraper
Scrape the Twitter Frontend API without authentication.
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
nutch-solr-integration
An ultra small PoC to show how to combine Apache Nutch and Apache Solr, crawling through web pages and storing the results in Solr for quering
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
textteaser
Official version of TextTeaser.
DataScienceSpCourseNotes
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
Data-Science--Cheat-Sheet
Cheat Sheets
Sentiment-Analysis
Implementing sentiment analysis using CNN and LSTMs
Named-Entity-Recognition-BidirectionalLSTM-CNN-CoNLL
Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"