Repository Index

food image to recipe with deep convolutional neural networks.

• convolutional-neural-networks
• keras
• chef
• deep-learning

Python package for Bayesian Machine Learning with scikit-learn API

• python
• bayesian-machine-learning
• machine-learning
• scikit-learn

bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.

• huggingface
• bert
• chemical-modelling
• chemical-smiles-data

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)

• clinicalbert
• hospital-readmission
• prediction

Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis

• social-network
• indiana-university
• network-science
• textbook

Solve captcha without manually labeling a training set

• keras
• gan
• neural-network
• generative-adversarial-network

Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

• feature-selection
• data-science
• python

Repository for MolFormer

Reference mapping for single-cell genomics

• single-cell
• deep-learning
• rna-seq-analysis
• data-integration

The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.

• cwt
• matlab
• cpp
• optimization

Deep Reinforcement Learning for de-novo Drug Design

• deeplearning
• reinforcement-learning
• cheminformatics
• molecular-modeling

Fusing Histology and Genomics via Deep Learning - IEEE TMI

• pathomic
• fusion
• multimodal
• pathology

An OCaml kernel for Jupyter (IPython) notebook

• ocaml
• functional-programming
• jupyter-kernels
• machine-learning

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.

Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell

• histology
• wsi-images
• pan-cancer-analysis
• genomics

Open source remote sensing dataset with benchmarks

Materials for GWU DNSC 6279 and DNSC 6290.

• data-science
• data-mining
• data-visualization
• machine-learning

This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube

Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning

• tensorflow
• python3
• keras
• resnet-101

This repository is a collection of TTS Models in TFLite

scPerturb: A resource and a python/R tool for single-cell perturbation data

• cite-seq
• database
• perturbation
• scatac-seq

openvino version of openai/whisper

• whisper
• asr
• openvino

Breaking captchas using torch