💯 Curated coding interview preparation materials for busy software engineers

A Docker image for PyTorch

Minimal implementation of Multi-layer Recurrent Neural Networks (LSTM) for character-level language modelling in PyTorch

This repository contains all the work that I regularly did and studied from Medium blogs, several research papers, and other Repos (related/unrelated to the research papers).

This is the code for our KILT leaderboard submissions (KGI + Re2G models).

Pytorch lightning + hydra + neptune template for LM finetuning

Code accompanying our papers on the "Generative Distributional Control" framework

A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

A library to conduct ranking experiments with transformers.

DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks

State-of-the-Art Text Embeddings

pytorch implementation of the TwinBert paper

multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

Applying BERT for named entity recognition on resumes.

A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations

CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

Code for the paper: GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling

Google's officially supported Node.js client library for accessing Google APIs. Support for authorization and authentication with OAuth 2.0, API Keys and JWT (Service Tokens) is included.

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

This is repository of my YouTube Course on End to End Apache Spark in AIEngineering YouTube Channel

Guess gender from indian names.

Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch

A demo code for topical word embedding

Implementation of Visual Bayesian Personalized Ranking (VBPR) using Numpy

A simple resume parser used for extracting information from resumes

BE computer (2015 syllabus) Lab Programs

Models and examples built with TensorFlow

Syntaxnet Parsey McParseface wrapper for POS tagging and dependency parsing