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annotated_deep_learning_paper_implementations

🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan), reinforcement learning (ppo, dqn), capsnet, sketch-rnn, etc.

artificial-intelligence

Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools

asap-annotation

How to create mask from ASAP annotation (.xml file)

atmega32_serial_over_rf_using_hc_11

Using the HC_11 module to communicate between 2 OUSB boards (atmega32). Written in Assembler.

autoencoders_dimensionality_reduction

awesome-deepbio

A curated list of awesome deep learning applications in the field of computational biology

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

biofusionnet

BioFusionNet is a highly effective framework for cancer risk prediction, demonstrating its superior performance using multimodal data.

breast-cancer-machine-learning-prediction-system

Using Python Machine Learning Supervised and Unsupervised Learning Models on Jupyter Notebook

breast-cancer-sub-types

A new architecture of feature extraction method using omics data is proposed which improves classification in most of the classifiers.

cancer-deep-learning-model

TensorFlow Deep Learning neural network model for University of Wisconsin Cancer data

cnn4brca

Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA). Master's thesis

dbn-kyoto

Deep Learning Tutorial notes and code. See the wiki for more info.

deep-belief-nets-for-topic-modeling

This repository is a proof of concept toolbox for using Deep Belief Nets for Topic Modeling in Python.

deep-belief-network

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

deep-learning-classification

Example of multiclass classification

deep-learning-pathway

for the beginners

deep-learning-tensorflow

Ready to use implementations of various Deep Learning algorithms using TensorFlow.

deepcc

a deep learning-based framework for cancer classification

deeplearning-biology

A list of deep learning implementations in biology

deeplearningcamelyon

DeepLearning - Camelyon16 dataset

deepvariant

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

demo_visualisation_python

Notebook, data and Dash app used in talk on visualisation libraries

dimensionalityreduction

Dimensionality Reduction

fast-nca

Fast implementation of the Neighborhood Component Analysis algorithm

geneticalgorithmforfeatureselection

Search the best feature subset for you classification mode

hist2rna

Deep learning based method called hist2RNA to predict the expression of genes using digital images of stained tissue samples

histopathology-datasets

Ressources of histopathology datasets

how-to-code-samples

These applications are code sample exercises using the Intel IoT Developer Kit, Intel Edison board or Intel IoT Gateway, sensors, actuators, cloud platforms, and APIs.

hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization