shashank sane's repositories
ResearchPapers
curated list of selected research papers for AI/ML/NLP
Reference-Links
Curated list of articles for ML/AI/NLP
course-nlp
A Code-First Introduction to NLP course
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
tensorflow-probability-100days
100 Days of Experimenting with TensorFlow Probability
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
autoencoder_classifier
Autoencoder model for rare event classification
awesome_OpenSetRecognition_list
A curated list of papers & ressources linked to open set recognition and open world recognition
codequestion
Ask coding questions directly from the terminal
Concept-Drift-and-Model-Decay
Evaluating model decay as the underlying concepts for classification evolve
course2-GP1
collaboration
elastic_transformers
Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers
EMNLP2017_DOC
code for our EMNLP 2017 paper "DOC: Deep Open Classification of Text Documents"
Fracking-Features-in-Machine-Learning
Detecting data evolution and the need for new classes
gensim
Topic Modelling for Humans
insight
Repository for Project Insight: NLP as a Service
keras-nbsvm
A Keras Implementation of NBSVM for Text Classification
lstm-siamese-text-similarity
⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity
lstm_autoencoder_classifier
An LSTM Autoencoder for rare event classification
nlp_yelp_review_unsupervised
Train unsupervised LDA Topic Model on raw Yelp review text, use topic distributions as feature inputs to SGD Classification supervised models on unseen reviews.
pandas-pipelines-custom-transformers
Material for Talk at PyData Seattle 2017
qml-mooc
Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019
quantum_computing_resources
resources for quantum computing
scikit-survival
Survival analysis built on top of scikit-learn
spacy-ner-annotator
Train Spacy ner with custom dataset
Text_Classification
Text Classification Algorithms: A Survey
weight_uncertainty
Implementing Bayes by Backprop
XNet
CNN implementation for medical X-Ray image segmentation