Naveen Kaushik's repositories
data-science-machine-learning-ai-big-data-resources
A curated set of resources for data science, machine learning, artificial intelligence (AI), big data, and more. Includes links, notebooks, articles, books, cheat sheets, whitepapers, lists, and technical papers
awesome-text-summarization
The guide to tackle with the Text Summarization
bert-as-service
Mapping a variable-length sentence to a fixed-length vector using BERT model
bert-extractive-summarization
MobileBERT and DistilBERT for extractive summarization
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
dolly
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
finite-fields
Python code and tests for the post 'Programming with Finite Fields'
Multicore-TSNE
Parallel t-SNE implementation with Python and Torch wrappers.
NAMAS
Neural Attention Model for Abstractive Summarization
stellargraph
StellarGraph - Machine Learning on Graphs
the-algorithm
Source code for Twitter's Recommendation Algorithm