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This Repository contains scratch implementations of the famous metrics used to evaluate machine learning models.
( Scratch development ) Term Frequency Inverse Document Frequency is a vectorization technique used widely in Natural Language Processing. The vectorization effectively gives importance to rare words and important words.
public website
SAM 3D Objects
TripoSR: Fast 3D Object Reconstruction from a Single Image
Super easy library for BERT based NLP models
Repositories
43public website
SAM 3D Objects
TripoSR: Fast 3D Object Reconstruction from a Single Image
Super easy library for BERT based NLP models
This repository contains all tutorials and code in connection with the MONKEY challenge.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Segment Anything in Medical Images
An easy to follow course of OpenCV using Python for beginners.
UniverSeg: Universal Medical Image Segmentation
This Repository contains scratch implementations of the famous metrics used to evaluate machine learning models.
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Mastering Computer Vision with TensorFlow 2.0, published by Packt
Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.
WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.
Trained a image classification model to detect if xray of a person has pneumonia or not.
It covers Flask Restful API and Atlas MongDb. Its a very lightweight app which perform CRUD operations. Its the skeleton of making an app. Just clone it and deploy in docker. Good to go.
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( Scratch development ) Term Frequency Inverse Document Frequency is a vectorization technique used widely in Natural Language Processing. The vectorization effectively gives importance to rare words and important words.
This repository has the implementation of Logistic Regression using the method of Stochastic Gradient Descent without using sklearn. This is implemented from scratch.
Welcome!
contains the files for my portfolio
The repository contains the code solution to BBC Multi Class Classification problem hosted on Kaggle.
No description provided.
A WebGL accelerated JavaScript library for training and deploying ML models.
Curated list of awesome GAN applications and demo
This dataset consists of reviews of fine foods from amazon. The data span a period of more than 10 years, including all ~500,000 reviews up to October 2012. Reviews include product and user information, ratings, and a plain text review. It also includes reviews from all other Amazon categories
This repository contains Matlab codes for some mathematical topics in computer science.
This repository contains my experiments with the Generative Adversarial setting of Neural Networks.
Gene expression profiling can also be used to more accurately classify tumors and understand the heterogeneity within a cancer type.