Pinned Repositories
100-times-faster-nlp
🚀100 Times Faster Natural Language Processing in Python - iPython notebook
CLTSimulation
This is a Shiny Application to serve as an educational tool to visualize Central Limit Theorem for Binomial and Exponential Distribution.
course-nlp
A Code-First Introduction to NLP course
DL-NLP-Readings
My Reading Lists of Deep Learning and Natural Language Processing
Free-Deep-Learning-Books
A curated collection of free Deep Learning related eBooks
HMM_POS_Tagging
HMM based POS tagging using Viterbi Algorithm
modern-nlp-in-python
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
Reference-Links
Curated list of articles for ML/AI/NLP
ResearchPapers
curated list of selected research papers for AI/ML/NLP
saneshashank's Repositories
saneshashank/Reference-Links
Curated list of articles for ML/AI/NLP
saneshashank/ResearchPapers
curated list of selected research papers for AI/ML/NLP
saneshashank/course-nlp
A Code-First Introduction to NLP course
saneshashank/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
saneshashank/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 ;)
saneshashank/tensorflow-probability-100days
100 Days of Experimenting with TensorFlow Probability
saneshashank/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
saneshashank/autoencoder_classifier
Autoencoder model for rare event classification
saneshashank/awesome_OpenSetRecognition_list
A curated list of papers & ressources linked to open set recognition and open world recognition
saneshashank/codequestion
Ask coding questions directly from the terminal
saneshashank/Concept-Drift-and-Model-Decay
Evaluating model decay as the underlying concepts for classification evolve
saneshashank/elastic_transformers
Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers
saneshashank/EMNLP2017_DOC
code for our EMNLP 2017 paper "DOC: Deep Open Classification of Text Documents"
saneshashank/eva_nn_01
small multi modal neural network taking image and number as input and output label and sum
saneshashank/Fracking-Features-in-Machine-Learning
Detecting data evolution and the need for new classes
saneshashank/gensim
Topic Modelling for Humans
saneshashank/insight
Repository for Project Insight: NLP as a Service
saneshashank/keras-nbsvm
A Keras Implementation of NBSVM for Text Classification
saneshashank/lstm-siamese-text-similarity
⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity
saneshashank/lstm_autoencoder_classifier
An LSTM Autoencoder for rare event classification
saneshashank/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.
saneshashank/pandas-pipelines-custom-transformers
Material for Talk at PyData Seattle 2017
saneshashank/qml-mooc
Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019
saneshashank/quantum_computing_resources
resources for quantum computing
saneshashank/saneshashank
saneshashank/scikit-survival
Survival analysis built on top of scikit-learn
saneshashank/spacy-ner-annotator
Train Spacy ner with custom dataset
saneshashank/Text_Classification
Text Classification Algorithms: A Survey
saneshashank/weight_uncertainty
Implementing Bayes by Backprop
saneshashank/XNet
CNN implementation for medical X-Ray image segmentation