kevinguan-glitch's Projects
An Acute Lymphoblastic Leukemia classifier trained using Intel Distribution for Python and Intel Optimized Tensorflow (Tensorflow 2.1), and using OpenVINO to deploy the model on UP2 & Raspberry Pi.
An implementation of an xDNN (eXplainable Deep Learning) classifier for detecting Acute Lymphoblastic Leukemia by Nitin Mane.
A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
A series of Acute Lymphoblastic Leukemia CNNs programmed in Python using FastAI. Project by team member Salvatore Raieli.
Code accompanying Precision oncology for acute myeloid leukemia using a knowledge bank approach
š©āš»šØāš» Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
Using Python to predict if a dataset of breast cancer attributes will turn malignant
GCP Essentials for Bioinformatics Researchers
A robot powered training repository :robot:
Gene prediction in metagenomic sequences using Glimmer augmented by phylogenetic classification and clustering
Notebooks and code for the book "Introduction to Machine Learning with Python"
3rd place submission for ISBI 2019 C-NMC challenge
Config files for my GitHub profile.
Acute Lymphoblastic Leukemia Detection System 2020 uses Tensorflow 2 & Oculus Rift to provide a virtual detection system. Project by Adam Milton-Barker.
š :bar_chart: :bulb: Orange: Interactive data analysis
A template for the class project
Python Data Science Handbook: full text in Jupyter Notebooks
SuperFolder COVID mRNA vaccines, stabilized for in vitro storage and shipping
Understanding the theory behind UMAP