musamawaheed

MetaFormer

A PyTorch implementation of "MetaFormer: A Unified Meta Framework for Fine-Grained Recognition". A reference PyTorch implementation of “CoAtNet: Marrying Convolution and Attention for All Data Sizes”

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

TransFG

This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).

Hawkeye

Open source deep learning based fine-grained image recognition toolbox built on PyTorch🔥

A-tool-with-improved-accuracy-in-checker-board-corner-detection-and-automatic-data-processing-

A method and tool for automatic camera calibration were developed. This method has advantages: 1) it doesn’t involve user clickings to define the region of interest, which eliminates the error and accuracy problems from human operation; 2) Images are processed automatically in batch, eliminating the time-consuming manual data processes; 3) improved the accuracy by developing advanced algorithms in the checker-board corner detection, thus improved the vision-based system’s accuracy; 4) Enabled the creation of user-defined markers for auto data processing. The key to the automatic method is to enable auto-counting and auto-alignment.

AC295-final-project-JWI

manual image labelling and transfer learning for segmentation

pyGigE-V

Python wrapper for Teledyne DALSA's GigE-V Framework API

shelfie

Automatic book cataloging and pricing from cell phone images of bookshelves.

edx-dl

A simple tool to download video lectures from edx.org (and other openedx sites)

bypass-paywalls-chrome

Bypass Paywalls web browser extension for Chrome and Firefox.

The-Data-Science-Workshop

A New, Interactive Approach to Learning Data Science

deeplake

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

portfolio-website

A project to get you up and running with a portfolio site

concrete_NLP_tutorial

An NLP workshop about concrete solutions to real problems

avidLearnerInProgress.github.io_old

Portfolio Page

praneshr.github.io

My personal website

facets

Visualizations for machine learning datasets

jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Sentiment_Analysis

awesome-mlss

🤖 Machine Learning Summer School deadlines

BoschProductionLine

Bosch Production Line Performance competition on Kaggle

Bosch-Kaggle-Production-Line-Performance

My working codes for Bosch Kaggle Competition

bosch-defect-manufacturing

Bosch Defect Manufacturing Prediction

bosch-production-line-performance-internal-failure-predictor

In this project, I will predict internal failures, to reduce manufacturing failure and costs for the company Bosch, using thousands of measurements and tests made for each component along the assembly line.

VisualizeWhatsAppChatHistory

Simple Python scripts to visualize and analyze WhatsApp chat history, generating message count and word frequency.

Reducing-Manufacturing-Failures

Reducing Manufacturing Failures - A Kaggle Challenge

bosch-kaggle-competition-spark

Bosch Kaggle competion: Reduce manufacturing failures (https://www.kaggle.com/c/bosch-production-line-performance)

kaggle-bosch-production-line-performance

57th place solution in "Bosch Production Line Performance"

bosch-production-line-performance

Kaggle: Reduce manufacturing failures

kaggle_bosch2