Dr Purushottam 's starred repositories
tensorflow
An Open Source Machine Learning Framework for Everyone
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
aws-machine-learning-university-accelerated-nlp
Machine Learning University: Accelerated Natural Language Processing Class
aws-machine-learning-university-accelerated-cv
Machine Learning University: Accelerated Computer Vision Class
aws-machine-learning-university-accelerated-tab
Machine Learning University: Accelerated Tabular Data Class
Colab-Hacks
Simple Hacks for Google Colaboratory to boost your productivity and help you to perform daily tasks.
Data-Visualization
Data Visualization with Python
deep-learning-for-nlp-lectures
Deep Learning for Natural Language Processing - Lectures 2023
pandas_data_cleaning
A brief guide and tutorial on how to clean data using pandas and Jupyter notebook
Cancer-diagnosis-and-early-detection
A flask website for cancer detection and diagnosis using machine learning
fhir-learning-resources
A collection of resources for learning about FHIR, FHIR Tools and Resources, and the Death on FHIR efforts for using FHIR to exchange mortality data.
malaria-detection-app
Web app for Malaria detection from the human blood sample images which is trained on National Library of Medicine dataset using Flask and Python.
spark_project_template_generator
Used to generate Sample Spark Project Template
flight_classification
Deep learning model to classify flights
Automated-Detction-of-Liver-cancer-in-WSI
As the number of cancer patient increase day by day, we can only take control with the help of early stage cancer detection. We use deep learning techniques to build and train the models. The whole slide image is a higher resolution image. We proposed two methods for semantic segmentation of WSIs in liver. The methods are U-Net and Auto Encoder. Semantic segmentation is applied to identify the tumor with the given WSIs. We were able to segment the viable tumor area.
Liver_cancer_classification
Liver cancer classification based on blood samples
Malaria-classifier
A Convolutional Neural Network (CNN) using Keras to classify malaria infected blood cells. It is a supervised classification problem, with two classes : uninfected and parasitized.
mit-15-003-data-science-tools
Study guides for MIT's 15.003 Data Science Tools
demo-image-classification-fastai-change-1
thankfull to the git hub repo provided by mr.Shuyi Wang from https://github.com/wshuyi/demo-image-classification-fastai