Pinned Repositories
aind2-cnn
AIND Term 2 -- Lesson on Convolutional Neural Networks
airflow
Apache Airflow
alexa-skills-kit-sdk-for-python
The Alexa Skills Kit SDK for Python (Beta) helps you get a skill up and running quickly, letting you focus on skill logic instead of boilerplate code.
Asset-Pricing-Model
PyTorch autoencoder implementation of asset pricing model using monthly returns/metrics
dask-tutorial
Dask tutorial
Deep_Learning_ND
Content and Coursework from Udacity's Deep Learning Nanodegree
Parameter-efficient-fine-tuning
Parameter efficient fine-tuning techniques p-tuning and LoRA in the context of a challenging medical question answering task while performing quantitative performance analysis across multiple GPT models.
People_Analytics
Application for workforce management - Forecasting voluntary separations
RAG
RAG Pipeline implementation. Read in academic Journal to query
Synthetic-Data-Generation-LLMs
Creating synthetic data with LLMs, and especially, LLM-generated synthetic data that can be used to fine-tune smaller models to perform tasks that only larger base models had been capable of performing
dkyol's Repositories
dkyol/Asset-Pricing-Model
PyTorch autoencoder implementation of asset pricing model using monthly returns/metrics
dkyol/dask-tutorial
Dask tutorial
dkyol/Deep_Learning_ND
Content and Coursework from Udacity's Deep Learning Nanodegree
dkyol/People_Analytics
Application for workforce management - Forecasting voluntary separations
dkyol/airflow
Apache Airflow
dkyol/amazon-sagemaker-workshop
Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more
dkyol/Deep_Learning_Projects
Graded Assignments from Udacity's Deep Learning Nanodegree RNNs, GANs
dkyol/Parameter-efficient-fine-tuning
Parameter efficient fine-tuning techniques p-tuning and LoRA in the context of a challenging medical question answering task while performing quantitative performance analysis across multiple GPT models.
dkyol/RAG
RAG Pipeline implementation. Read in academic Journal to query
dkyol/Synthetic-Data-Generation-LLMs
Creating synthetic data with LLMs, and especially, LLM-generated synthetic data that can be used to fine-tune smaller models to perform tasks that only larger base models had been capable of performing
dkyol/bedrock-code-tutorials
bedrock LLM code
dkyol/Data-Scientist-ND
Projects from Data Scientist Nanodegree
dkyol/Data_Engineering_Nanodegree
AWS Redshift, Spark and Airflow
dkyol/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
dkyol/FSND
Public repository for the Full-Stack Nanodegree program.
dkyol/GenerativeAIExamples
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
dkyol/GENRE
Autoregressive Entity Retrieval
dkyol/HR_Analytics
Analytics built on publically available Federal HR data
dkyol/liquid_time_constant_networks
Code Repository for Liquid Time-Constant Networks (LTCs)
dkyol/Machine-Learning-ND
Projects from Machine Learning Nanodegree
dkyol/Machine-Learning-ND-Capstone
Machine Learning Capstone Project - Image Classification
dkyol/NLP
Natural Language Processing LSTM-RNN Implementation
dkyol/NLP_Notebook
Code for NLP
dkyol/onnx
Open Neural Network Exchange
dkyol/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
dkyol/RAG_POC
proof of concept rag model
dkyol/tensor-stream
A library for real-time video stream decoding to CUDA memory
dkyol/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
dkyol/UCO
This repository is for development of the Unified Cyber Ontology.
dkyol/VideoProcessingFramework
Set of Python bindings to C++ libraries which provides full HW acceleration for video decoding, encoding and GPU-accelerated color space and pixel format conversions