Avinash Sooriyarachchi

makeMoE. From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)

seemore. From scratch implementation of a vision language model in pure PyTorch

Tuning-the-Finetuning. Tuning the Finetuning: An exploration of achieving success with QLoRA

multimodal_LLMs. Finetuning BLIP-2/ Flan-T5-xl for caption generation PEFT-LoRA

BrickPilot. Build your own AI Coding Assistant with Databricks using Visual Studio Code and GitHub Copilot

Explainable-ML-Application. Interactive Explainable Machine Learning with SAS Viya, Streamlit and Docker

mlflow-rpc. Python

text2sql-data. A collection of datasets that pair questions with SQL queries.

Forametrics. Some early code from Fora: Conversational Analytics Platform

Efficient_Multimodality. Demonstrating Pixtral 12B - Where reasoning meets multimodality in a small package

sdk-python. A model-driven approach to building AI agents in just a few lines of code.

dbtunnel. Proxy solution to run elegant Web UIs or interact with LLMs natively inside databricks notebooks.

AnimateDiff. Official implementation of AnimateDiff.

fsdp_qlora. Training LLMs with QLoRA + FSDP

sqlvis. Python package to visualise SQL queries as graphs

BERT-to-RAG. Large Language Models: Going back from OSS SoTA to the roots and back

gpt-fast. Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

regex-generator. Generate regular expressions from sample texts.

onnx-donut. Export Donut model to onnx and run it with onnxruntime

EasyNMT. Easy to use, state-of-the-art Neural Machine Translation for 100+ languages

Table-Pretraining. ICLR 2022 Paper, SOTA Table Pre-training Model, TAPEX: Table Pre-training via Learning a Neural SQL Executor

randomfun. Notebooks and various random fun

sqleyes. A CLI in Python that analyzes raw SQL queries for common anti-patterns

dlaicourse. Notebooks for learning deep learning

gpt-3. GPT-3: Language Models are Few-Shot Learners

SKompiler. A tool for compiling trained SKLearn models into other representations (such as SQL, Sympy or Excel formulas)

mlflow101. A no-nonsense demo of MLflow on Databricks

entity-recognition-datasets. A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

nd320-c1-emr-data-starter. Jupyter Notebook

nd320-c4-wearable-data-project-starter. Jupyter Notebook

flutter_training. main.dart files of numerous basic flutter examples

Scraping-Tools-Benzinga. Python

Convolutions_1D. 1D convolutions for series data

Databricks_image_recommender. Jupyter Notebook

food_recipe_images.

fastbook. Draft of the fastai book

GeneticAlgorithms. A set of notebooks that explore genetic algorithms and genetic programming

scikit-optimize. Sequential model-based optimization with a `scipy.optimize` interface

food_app_images.

databricksrecipeai. React frontend test for recipe app

competitiveML. jupyter notebooks from Kaggle competitions I participated in. Very simple to fairy complex

Building_NLP_API_with_FastAPI. Building an asynchronous NLP API using FastAPI on low level SAS Viya APIs and containerize for deployment

optuna. A hyperparameter optimization framework

speech_to_text. Example converting speech to text

pandasql. sqldf for pandas

db_docs. Experimental docs for spark, delta and mlflow

tfbook. Jupyter Notebook

titanic_eda. Python

tensorflowBasics. Jupyter Notebook

Reuters-Scraping. Live and historical scraper for Reuters.

AviSoori1x.github.io. Exploring Intelligent Machines

Stat571. My project work for the R-based modern data mining course at Wharton

Sentiment_Analysis. Basic sentiment analysis using rule based (Vader) and machine learning based (Naive Bayes, LSTM) methods