Pinned Repositories
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
adaptive_lighting_system
Worked on a project as a group as a part of the course of Digital Design. We Designed an adaptive lighting system for our automobile, whose headlights turn on automatically as the ambient light reduces. Similarly the reverse would happen at day break and the light sensor measures light to dark in 8 levels.
alphafold_pytorch
An implementation of the DeepMind's AlphaFold based on PyTorch for research
css3-github-buttons
Helps you easily create GitHub-style buttons and toolbars using links, buttons, and inputs.
Deep-Sperm
There have been global concerns regarding falling rates of infertitlity among men and there has been an increase of couples seeking medical assistance for reproduction.The analysis of the semen sample is usually performed by clinician who calculates the sperm concentraion , motility, morphology , volumne , appearence ,pH, viscosoty, Percentage of motile and non motile sperms and other parameters.Manual evaluation of a sample using a microscope takes a lot of time and it requires extensive traning and practise for the clinican. Morever the results obtained from the clinician have limited reproducibilty and it can have lot of variations between different clinicians. To overcome these issues we have come up with a deep learning model that can predict the concentraion of the sperm sample along with the prediction of the path and other paramters of the most viable sperms using Deep learning algorithms
echocardiography-mortality-analysis
Echocardiography (echo) based machine learning (ML) models may be useful in identifying patients at high-risk of all-cause mortality.
NLP-search-engine-using-BERT
Psychiatric-Disorders-With-Speech
In this project, we wish to identify psychiatric disorders through patient's speech
Spatiotemporal-Convolutions-for-Action-Recognition
spatiotemporal convolutions for video analysis and study their effects on action recognition using the pre trained resnet model
MLDSP-but-its-DL
Akshay1-6180's Repositories
Akshay1-6180/Deep-Sperm
There have been global concerns regarding falling rates of infertitlity among men and there has been an increase of couples seeking medical assistance for reproduction.The analysis of the semen sample is usually performed by clinician who calculates the sperm concentraion , motility, morphology , volumne , appearence ,pH, viscosoty, Percentage of motile and non motile sperms and other parameters.Manual evaluation of a sample using a microscope takes a lot of time and it requires extensive traning and practise for the clinican. Morever the results obtained from the clinician have limited reproducibilty and it can have lot of variations between different clinicians. To overcome these issues we have come up with a deep learning model that can predict the concentraion of the sperm sample along with the prediction of the path and other paramters of the most viable sperms using Deep learning algorithms
Akshay1-6180/echocardiography-mortality-analysis
Echocardiography (echo) based machine learning (ML) models may be useful in identifying patients at high-risk of all-cause mortality.
Akshay1-6180/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Akshay1-6180/adaptive_lighting_system
Worked on a project as a group as a part of the course of Digital Design. We Designed an adaptive lighting system for our automobile, whose headlights turn on automatically as the ambient light reduces. Similarly the reverse would happen at day break and the light sensor measures light to dark in 8 levels.
Akshay1-6180/Doc-Assisted-BOT
A disease prediction model that predicts the disease from the symptoms
Akshay1-6180/NLP-search-engine-using-BERT
Akshay1-6180/Psychiatric-Disorders-With-Speech
In this project, we wish to identify psychiatric disorders through patient's speech
Akshay1-6180/Spatiotemporal-Convolutions-for-Action-Recognition
spatiotemporal convolutions for video analysis and study their effects on action recognition using the pre trained resnet model
Akshay1-6180/STERILIZATION_UNIT
Worked on a sterlization unit that written using assembly language and it was stimulated using Proteus.This unit performs sterilization by increasing temperature to maximum value (X°C). The temperature has to be maintained at the maximum value for 2 minutes before it is brought gradually to a nominal temperature value (Y°C). The time taken for bringing down the temperature can be varied between four different values used as decided by the user. A Push Button switch (Level) is available for this purpose. The number of times the key is pressed decides the speed at which then temperature should be brought down.
Akshay1-6180/DecodET
Akshay1-6180/dynamic
EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.
Akshay1-6180/Folder-Structure-Conventions
Folder / directory structure options and naming conventions for software projects
Akshay1-6180/gene-to-signal
Akshay1-6180/grad-cam-pytorch
Akshay1-6180/Grokking-the-Coding-Interview-Patterns-for-Coding-Questions
Akshay1-6180/grokking-the-object-oriented-design-interview
Akshay1-6180/Leetcode
Solutions to LeetCode problems; updated daily. Subscribe to my YouTube channel for more.
Akshay1-6180/LeetCode-Questions-CompanyWise
Contains Company Wise Questions sorted based on Frequency and all time
Akshay1-6180/nano_models
This is a repo for learning vision and language models by notebooks and illustrations
Akshay1-6180/noisystudent
Code for Noisy Student Training. https://arxiv.org/abs/1911.04252
Akshay1-6180/OOP-Python
This repository contains the various code files and pdf that I made while learning object oriented programming with python from various resources
Akshay1-6180/parentlane
Akshay1-6180/PyTorch-Computer-Vision-Cookbook
PyTorch Computer Vision Cookbook, Published by Packt
Akshay1-6180/Reinforcement_Learning
Reinforcement Learning (RL) is based on the idea where we learn by interacting with our environment. It is a collection of machine learning techniques where agent(s) learn how to behave in an environment by performing actions and assessing the results. RL approach is building programs that learn how to predict and act in stochastic environment, based on past experience. This course will provide an overview to students on some of the fundamental ideas on which modern RL is built including markov decision processes, value functions, monte carlo estimation, dynamic programming, TLD methods, approximation methods, Actor-Critic methods, etc. This course will help students to understand and apply RL in several systems including video distribution systems, game development, IOT devices, robotics, clinical decision making, industrial process control, finance portfolio balancing, etc. This subject aims to achieve the following goals: To provide students with the knowledge to structure a reinforcement learning problem. To introduce students to learn and apply basic RL algorithms for simple sequential decision-making problems in uncertain conditions To introduce students research and development work in reinforcement learning by interpreting state-ofthe-art RL research and communicating their results. To provide knowledge to students to build a RL system that knows how to make automated decisions. To give students opportunities to understand the space of RL algorithms including Temporal Difference Learning, Monte Carlo, Q-Learning, approximation solution methods, A2C, A3C, etc.
Akshay1-6180/repeat_identifier
Detecting and classifying repeats using NLP
Akshay1-6180/Research-Internships-for-Undergraduates
List of Research Internships for Undergraduate Students
Akshay1-6180/Score_board
A score board repo to start with that takes input and saves into a excel file
Akshay1-6180/sentence-transformers
Sentence Embeddings with BERT & XLNet
Akshay1-6180/sphinx_rtd_theme
Sphinx theme for readthedocs.org
Akshay1-6180/web_servers