Fusing Histology and Genomics via Deep Learning - IEEE TMI
- pathomic
- fusion
- multimodal
- pathology
47,133 repositories indexed
73–96 of 99 · Most stars
Fusing Histology and Genomics via Deep Learning - IEEE TMI
An OCaml kernel for Jupyter (IPython) notebook
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
A tensorflow implementation of an HMM layer
Materials for GWU DNSC 6279 and DNSC 6290.
scPerturb: A resource and a python/R tool for single-cell perturbation data
ChatGPT Python Applications integrated with third party libraries and modules
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
tutorials made for biologists to learn deep learning
daru-view is for easy and interactive plotting in web application & IRuby notebook. daru-view is a plugin gem to the existing daru gem.
Generate random crop fields for Ignition Gazebo
How to create Selfie2Anime from tflite model to Android.
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier Transform (STFT) and Laplace transform, in Python.
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
Sources for the Network Science Cheatsheets
A multi-language tokenizer for extracting identifiers from source code.
Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.
Attempt at reproducing a SGNN's projection layer, but with word n-grams instead of skip-grams. Paper and more: http://aclweb.org/anthology/D18-1105
A coding exercise: let's convert dirty machine learning code into clean code using a Pipeline - which is the Pipe and Filter Design Pattern applied to Machine Learning.
:snake: Python Implementation for KITTI Scan Unfolding
:game_die: Neutrino research