Discover sujitpal/pytorch-drl-examples Open Source project

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

258

dl-models-for-qa

Worked examples from the NLTK Book

236

nltk-examples

holiday-similarity

fttl-with-keras

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

Building NER and RE components using HuggingFace Transformers

ner-re-with-transformers-odsc2022

Hadoop In Action Examples

hia-examples

Java

mlia-examples

Python and R Examples

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

pytorch-gnn-tutorial-odsc2021

Different approaches to computing document similarity

reuters-docsim

mia-scala-examples

Mahout Examples

Notebooks for Keras Tutorial presented at ODSC West 2020

keras-tutorial-odsc2020

Supporting code for Learning to Rank (LTR) presentation

ltr-examples

My attempt to learn more than one Deep Learning framework

polydlot

Jupyter notebooks and code for Intro to DL talk at Genesys

intro-dl-talk-code

scalcium

Scala NLP Algorithms

Random solr4 customizations

solr4-extras

An actor based content ingestion pipeline

delsym

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

nlp-graph-examples

Scala client for ElasticSearch

esc

deeplearning-ai-examples

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

bpwj

Java

thinkstats-examples

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

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

saturn-scispacy

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

llm-rag-eval

content-engineering-tutorial

Knowledge Graph Aligned Entity Linker using BERT and Sentence Transformers

kg-aligned-entity-linker

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

vespa-poc

neural-re-experiments

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

bayesian-stats-examples

neurips-papers-node2vec

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

tgni

Java

snorkel-pytorch-lstm-gpu

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

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

compmethods-notebooks

claimintel

Descriptive Stats on Claims Data

Account for storing miscellaneous text files for sharing

misc-docs

spark-data-algorithms

Implementations of common data algorithms in Spark

sherpa

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