sujitpal/scalcium

Stars
10
Rank 1,807,489 (Top 36 %)
Language
Scala
License
Apache License 2.0
Created about 10 years ago
Updated over 8 years ago

sujitpal/scalcium

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Scala NLP Algorithms

statlearning-notebooks

Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).

eeap-examples

Code for Document Similarity on Reuters dataset using Encode, Embed, Attend, Predict recipe

Jupyter Notebook

dl-models-for-qa

Keras DL models to answer 8th grade science multiple choice questions (Kaggle AllenAI competition).

nltk-examples

Worked examples from the NLTK Book

holiday-similarity

Finding similar images in the Holidays dataset

Jupyter Notebook

fttl-with-keras

Transfer Learning and Fine Tuning for Cross Domain Image Classification with Keras

Jupyter Notebook

ner-re-with-transformers-odsc2022

Building NER and RE components using HuggingFace Transformers

Jupyter Notebook

hia-examples

Hadoop In Action Examples

mlia-examples

Python and R Examples

pytorch-gnn-tutorial-odsc2021

Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021

Jupyter Notebook

reuters-docsim

Different approaches to computing document similarity

mia-scala-examples

Mahout Examples

keras-tutorial-odsc2020

Notebooks for Keras Tutorial presented at ODSC West 2020

Jupyter Notebook

ltr-examples

Supporting code for Learning to Rank (LTR) presentation

Jupyter Notebook

polydlot

My attempt to learn more than one Deep Learning framework

Jupyter Notebook

intro-dl-talk-code

Jupyter notebooks and code for Intro to DL talk at Genesys

Jupyter Notebook

solr4-extras

Random solr4 customizations

delsym

An actor based content ingestion pipeline

nlp-graph-examples

Examples for Graphorum 2019 presentation -- Graph Techniques for Natural Language Processing

Jupyter Notebook

esc

Scala client for ElasticSearch

deeplearning-ai-examples

Jupyter Notebook

bpwj

Java Parser Development Framework from Steven Metsker's "Building Parsers With Java book"

thinkstats-examples

Worked examples for exercises in Think Stats using the Scientific Python stack.

Jupyter Notebook

saturn-scispacy

SaturnCloud notebooks to extract annotations from CORD-19 dataset using SciSpacy pretrained models

Jupyter Notebook

llm-rag-eval

Large Language Model (LLM) powered evaluator for Retrieval Augmented Generation (RAG) pipelines.

content-engineering-tutorial

Jupyter Notebook

kg-aligned-entity-linker

Knowledge Graph Aligned Entity Linker using BERT and Sentence Transformers

Jupyter Notebook

vespa-poc

Small Proof of Concept to familiarize myself with Vespa.ai functionality

neural-re-experiments

Jupyter Notebook

bayesian-stats-examples

Python versions of things taught in the Bayesian Statistics courses on Coursera

Jupyter Notebook

neurips-papers-node2vec

Jupyter Notebook

tgni

Experimental NER techniques to address common (for me) text analysis problems.

snorkel-pytorch-lstm-gpu

Code for my GPU port of Snorkel 's Pytorch discriminative model (LSTM)

compmethods-notebooks

Python Notebooks for the Computional Methods for Data Analysis course on Coursera.

claimintel

Descriptive Stats on Claims Data

misc-docs

Account for storing miscellaneous text files for sharing

spark-data-algorithms

Implementations of common data algorithms in Spark

sherpa

Django based web application to help with organizing a conference (summit)

pytorch-drl-examples

Reimplementation of Deep Reinforcement Learning examples from "Deep Reinforcement Learning with Python" by Sudharsan Ravichandran