navneet1083
I majorly focus on developing CNN models on Computer Vision. Working on building LLM using PEFT fine tuning.
127.0.0.1
Pinned Repositories
ai-assignment
ai-assignments
All Aritificial Intelligence assignments using Python2
algos
DSA based problems
AppUtils
Exposure of utils of String, Data Structures extractions
llm-usecases
Discussed about 4 use-cases or case studies. Discussed about the approaches and significance of these use-cases as these are different from others. There are several approaches available which can be done using LLM but here the approaches and it's significance could bring insightful approaches towards it's execution.
Long-Context
This repository contains code and tooling for the Abacus.AI LLM Context Expansion project. Also included are evaluation scripts and benchmark tasks that evaluate a model’s information retrieval capabilities with context expansion. We also include key experimental results and instructions for reproducing and building on them.
qaml
This repository contains question-answers model as an interface which retrieves answers from vector database for a question. Embeddings or tokenised vector being computed using OpenAI API call which gets inserted into ChromaDB as a RAG. OpenAI API key would be required to run this service.
self-drive-car
Self Driving Car Course from udacity. This repository includes deep learning models for computer vision tasks. Computer vision includes certain techniques like transformations, kernels, region masking etc.
textsum-tune
This project is based on fine-tuning LLM models (FLAN-T5) for text summarisation task using PEFT approach. All evaluation metrics being computed on ROUGE scoring and LoRA optimisation techniques being used for fine-tuning.
Udacity-Natural-Language-Processing-Nanodegree
This repository contains all my solutions to the tutorials/projects of the Udacity Natural Language Processing Nanodegree
navneet1083's Repositories
navneet1083/llm-usecases
Discussed about 4 use-cases or case studies. Discussed about the approaches and significance of these use-cases as these are different from others. There are several approaches available which can be done using LLM but here the approaches and it's significance could bring insightful approaches towards it's execution.
navneet1083/ai-assignment
navneet1083/ai-assignments
All Aritificial Intelligence assignments using Python2
navneet1083/algos
DSA based problems
navneet1083/Long-Context
This repository contains code and tooling for the Abacus.AI LLM Context Expansion project. Also included are evaluation scripts and benchmark tasks that evaluate a model’s information retrieval capabilities with context expansion. We also include key experimental results and instructions for reproducing and building on them.
navneet1083/qaml
This repository contains question-answers model as an interface which retrieves answers from vector database for a question. Embeddings or tokenised vector being computed using OpenAI API call which gets inserted into ChromaDB as a RAG. OpenAI API key would be required to run this service.
navneet1083/self-drive-car
Self Driving Car Course from udacity. This repository includes deep learning models for computer vision tasks. Computer vision includes certain techniques like transformations, kernels, region masking etc.
navneet1083/textsum-tune
This project is based on fine-tuning LLM models (FLAN-T5) for text summarisation task using PEFT approach. All evaluation metrics being computed on ROUGE scoring and LoRA optimisation techniques being used for fine-tuning.
navneet1083/Udacity-Natural-Language-Processing-Nanodegree
This repository contains all my solutions to the tutorials/projects of the Udacity Natural Language Processing Nanodegree
navneet1083/BinaryNet
Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
navneet1083/caffe
Caffe: a fast open framework for deep learning.
navneet1083/cnn
This repo will all about implementation of CNN - related stuff. All with tutorial specific
navneet1083/DeepFace
Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.
navneet1083/Developing-Data-Products
navneet1083/GettingAndCleaningData
Assignment for Getting and Cleaning Data
navneet1083/groc_assign
Grocery analysis as an assignment
navneet1083/ImageNet_Utils
:arrow_double_down: Utils to help download images by id, crop bounding box, label images, etc.
navneet1083/jpypub
A sample of how to use nbdev for publishing notebooks
navneet1083/kgapp
Knowledge Graph Application to visualise relationships between entities.
navneet1083/navneet1083.github.io
For portfolio.
navneet1083/page
navneet1083/PracticalMachineLearning-Coursera
Assignments related to Practical Machine Learning Courses
navneet1083/Python-tutorial
Tutorial for python related programming.
navneet1083/quantized-cnn
An efficient framework for convolutional neural networks
navneet1083/RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
navneet1083/rnnlib
RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/
navneet1083/ssd-plate_detection
SSD-based plate detection
navneet1083/ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
navneet1083/thnn
neural network in lua on torch with cuda implementation
navneet1083/tutorials
Basic tutorials for learning