snehashis1997 Goto Github PK

4-bit-carry-skip-adder

4-bit-full-adder-using-half-adder

Here half adders also design in behaviral model.

4-bit-ripple-carry-adder-with-test-bench

4bit adder

achilles-resolute-internship-work

During my internship at “Achilles Resolute Private Limited” I used Deep learning-based segmentation algorithms to segment out below 40 days of baby's retinopathy images and also calculate the tortuosity index to find the severity of the diseases. Challenge in this work is that mask binary dataset is not given. so we have to collect some datasets from different fundus datasets and train the model. Also, baby's retinopathy images are not very clear as fundus dataset, so image processing techniques also used to fix these issues.

adversarial-robustness-toolbox

Python library for adversarial machine learning, attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support

adversarial_attacks

Course Project for EE782. IIT Bombay, Autumn 2019

aerial-cactus-identification

Determine whether an image contains a columnar cactus

attendance-using-face

Face-recognition using Siamese network

audio-based-mood-detection-classifier

This is my work in SkyBits Technologies Pvt Ltd (http://sky-bits.com/) from 1st August 2019 to 30th September 2019. During this time, I was to design a novel machine learning-based model were using my Laptop’s microphone it recorded 15-sec audio and divided 15sec audio into three parts, took the decision for each part whether that part was loudly or non-loudly.

awesome-image-alignment-and-stitching

A curated list of awesome resources for image alignment and stitching ...

awesome-image-registration

image registration related books, papers, videos, and toolboxes

awesome-machine-learning-in-compilers

Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

awesome-mlops

A curated list of references for MLOps

awesome-multi-camera-network

Multi-camera Network research resources

awesome-youtubers

▶️ An awesome list of awesome YouTubers that teach about technology. Tutorials about web development, computer science, machine learning, game development, cybersecurity, and more.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bccd_dataset

BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.

bitwise

Bitwise is an educational project where we create the software/hardware stack for a computer from scratch.

blurnet

Design a CNN based deep learning model which classify both blurred and not blurred versions of a data set where at least one class is extremely rare i.e it is a highly unbalanced dataset and deploys it in a web app

breast_cancer_classifier

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

bytetrack

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

cache_simulator

A simple trace-based cache simulator

calculate-forest-reduction-in-kerala-using-landsat-image

using k means algorithm with the help of opencv python library detect the reduction of forest area.

canet

TMI 19: CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading

cl-workshop-cvpr21-docker

Seed repo for CVPR'21 Continual Learning Challenge

classification-of-ultra-sound-breast-cancer-data-set-using-deep-learning

This data set is downloaded from kaggle. Ultra sound images are.It is a binary classification using Deep learning CNN and our target metric is ROC-AUC score. AUC represents the probability that a random positive (green) example is positioned to the right of a random negative (red) example.My present ROC score is about 0.75.I try to further optimize it

clever_code

Examples of clever code that I have found

cls2det

Convert pre-trained classifier to object detector without training

colab

Continual Learning tutorials and demo running on Google Colaboratory.

compilergym

A reinforcement learning toolkit for compiler optimizations