dhingratul

Camera-Caliberation

Calibrate the camera of a robot vehicle for 3d and 2d camera caliberation.

ComputationalPhotography

Implemented Texture Synthesis and Image Inpainting algorithms

Face-Recognition

In this thesis, we study two problems based on clustering algorithms. In the first problem, we study the role of visual attributes using an agglomerative clustering algorithm to whittle down the search area where the number of classes is high to improve the performance of clustering. We observe that as we add more attributes, the clustering performance increases overall. In the second problem, we study the role of clustering in aggregating templates in a 1:N open set protocol using multi-shot video as a probe. We observe that by increasing the number of clusters, the performance increases with respect to the baseline and reaches a peak, after which increasing the number of clusters causes the performance to degrade. Experiments are conducted using recently introduced unconstrained IARPA Janus IJB-A, CS2, and CS3 face recognition datasets.

Face-Recognition-Algorithms

Implemented and evaluated four basic face recognition algorithms: Eigenfaces, Fisherfaces, Support Vector Machine (SVM), and Sparse Representation-based Classification (SRC) on YaleB dataset

generative-ai-with-llm

Various PoC/MvP for different libraries and use-cases supporting Generative AI workflows.

Model-Compression

Reduce the model complexity by 612 times, and memory footprint by 19.5 times compared to base model, while achieving worst case accuracy threshold.

scene-clustering

Clustering scenes

Sequence-Models

Course 5 from deeplearning.ai

Stock-Price-Prediction

Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data from Jan 2000 to Aug 2016

electoral_rolls

PDFs of Indian Electoral Rolls

dhingratul/Sequence-Models

Course 5 from deeplearning.ai

dhingratul/DeepLearning.ai-Summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

dhingratul/Eclectic-Nets

Collection of most popular Deep Learning architechtures trained with tensorflow, keras

dhingratul/Learning-To-Represent-Text

Learning to represent text using Word2Vec

dhingratul/openai-api-short

Short course on Generative AI from DeepLearning AI

dhingratul/RAG

RAG, and Adavanced RAG methods

dhingratul/generative-ai-with-llm

Various PoC/MvP for different libraries and use-cases supporting Generative AI workflows.

dhingratul/Integer-To-k_ary-Encoder-Decoder

Binary to Decimal Encoder-Decoder using RNN with tensorflow

dhingratul/build-nanogpt

Video+code lecture on building nanoGPT from scratch

dhingratul/chess-com-pgn-downloader

chess.com PGN downloader

dhingratul/copilot-test

copilot-test

dhingratul/CS231n-2017-Summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

dhingratul/DeepRL-Agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

dhingratul/fastai

The fast.ai deep learning library, lessons, and tutorials

dhingratul/Fraud-Prediction

Fraud hosts with substantial amount of fraudulent traffic using the impression logs for selected IP addresses

dhingratul/gan_tutorial

Tensorflow example of a conv GAN on MNIST.

dhingratul/github-actions

Primer to Github Actions

dhingratul/JEP

dhingratul/lightweight-human-pose-estimation.pytorch

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

dhingratul/LiveChess2FEN

Predict live chess games into FEN notation.

dhingratul/machine-learning-engineering-for-production-public

Public repo for DeepLearning.AI MLEP Specialization

dhingratul/models

Models and examples built with TensorFlow

dhingratul/mojo

The Mojo Programming Language

dhingratul/nanoGPT

dhingratul/nanoGPT-1

The simplest, fastest repository for training/finetuning medium-sized GPTs.

dhingratul/RL-Specialization

Part of RL Specialization offered by U. Alberta

dhingratul/stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

dhingratul/tensorflow

Computation using data flow graphs for scalable machine learning

dhingratul/terraform-getting-started

terraform-getting-started

dhingratul/Topic-Classifier