ai-art

PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!

aws-imp-commands

Helpful utilities for working with s3, sagemaker and other AWS services

client-ajay-docs

Will maintain the project progress, and discussions

client-dev-sm-poc

Using different capabilities of SageMaker with fastai. Extending PyTorch container for script-mode training with fastai

cvat

A fork of OpenCV CVAT opensource repo (https://github.com/opencv/cvat)

fastai-tabular

gdn

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series"

generative-learning

different experimentations for SOTA works

gpt-json-sanitizer

A package to fix JSON responses from ChatGPT

gpt4_visual_grounding

This project demonstrates the power of combining Visual-Grounding of large Vision-Language Models with an Agentic Flow to enhance localization abilities.

graph-neural-nets

Deep dive into Graph Neural Nets

kit-extension-sample-airoomgenerator

A tool used to create 3D content for rooms by calling OpenAI's API

m-ali-awan

my profile page

machine-learning-useful-docs

in development

mrwhisper-omniverse-extensions

Developing omniverse extensions, for using LLMs

ocr_pytorch

A pytorch-lightning implementation of CTPN for text detection and recognition

poseestimation

Simple implementation of OpenPose for SinglePerson, and MultiPerson

python-datastructures---algorithms

My implementation of data structures and algorithms in Python.

pytorch-mnist-dist-training

Distributed-Training on Sagemaker Notebook Instance

pytorchsegmentation

This repo contains, my experimentation of semantic and instance segmentation.

rl-from-scratch

From scratch learning for RL, using Pytorch, and OpenAI Gym.

sagemaker-learning-brad

Well commented code for different types of training configurations

sagemaker-pure-pytorch-deployment

Deploying a Pytorch trained model on sagemaker, with well documented steps

sagemaker-topicmodeling

Exploring LDA and NTM algorithms, and analyzing the results across few use cases.

speechrecognition

In this I have implemented Spoken Digits Recognition, from a Medium post.

super-resolution-ssimadded

SuperResolution using ESRGAN architecture with custom loss

taddy_pytorch

A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).

transformers-from-scratch

Designing transformers with different attention mechanisms from scratch

udacity-capstone-project

Stock Price Prediction as my Capstone Project

using-textract-to-the-best

How to parse Textract results for post-processing