Prashant Sridhar's repositories
Medical-Imaging-Cancer-Detection
Experimentation of Deep Learning Models for Medical Imaging.
Medical-Imaging-Malaria-Detection
CNNs for Malaria
Project2_AI
Artificial Neural Networks using Genetic Algorithms
Stanford_scraper
Scraper written in R for SSCAC
Abnormality-Detection
Abnormality Detection in Musculoskeletal Radiographs
charts
Curated applications for Kubernetes
coingecko-analytics
Coingecko API python wrapper and associated token data retrieval and qualtiative analysis. Used in https://echoplace.medium.com/a-very-brief-survey-of-the-altcoin-landscape-3ca362be3ae9
Course-Project-CS4487
Final Notebook for the Course Project of CS4487. All done on Colab.
deepschool.io
Deep Learning tutorials in jupyter notebooks.
Ears_v2.0
An alternative way to work on something I previously "worked" on
GANs_Fashion-MNIST
figuring out GANs
google_earth_engine
Playing around with Google Earth Engine
Horama
Vision in Greek, simple object detection application built for the iOS
prisma-server-docker
A boilerplate, for running Prisma behind a graphql endpoint, inside Docker
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
telegraf-session-local
Telegraf local sessions middleware with multiple supported storage types (Memory/FileSync/FileAsync/...) using lowdb
trade
A paradigm for financial applications. Reference implementation in Python. #EleNão