Pinned Repositories
ADSORFIT-model-fitting
Streamline the process of adsorption modeling for researchers, by automating the fitting of theoretical adsorption models to empirical isotherm data
BGRemover
A GUI-wrapped app to remove background from pictures, powered by the DeepLabV3 model
CTCycle
EMADB-Autopilot
Automated browser to download drug adverse reaction reports from the European Database of Suspected Adverse Reactions Reports (EudraVigilance)
FAIRS-forecasting
Roulette extractions forecasting using multiple transformer encoders
FEXT-Autoencoder
An autoencoder model to extract features from images and obtain their compressed vector representation, inspired by the convolutional VVG16 architecture
NISTCOLLECT-adsorption-data-collection
Collect adsorption isotherm data from the NIST/ARPA-E Database
TokenExplorer
Explore public and custom tokenizers using different SOTA metrics
XREPORT-radiological-reports-generator
Automatic generation of descriptive radiological reports from X-RAY scans
CTCycle's Repositories
CTCycle/EMADB-Autopilot
Automated browser to download drug adverse reaction reports from the European Database of Suspected Adverse Reactions Reports (EudraVigilance)
CTCycle/XREPORT-radiological-reports-generator
Automatic generation of descriptive radiological reports from X-RAY scans
CTCycle/NISTCOLLECT-adsorption-data-collection
Collect adsorption isotherm data from the NIST/ARPA-E Database
CTCycle/ADSORFIT-model-fitting
Streamline the process of adsorption modeling for researchers, by automating the fitting of theoretical adsorption models to empirical isotherm data
CTCycle/BGRemover
A GUI-wrapped app to remove background from pictures, powered by the DeepLabV3 model
CTCycle/CTCycle
CTCycle/FAIRS-forecasting
Roulette extractions forecasting using multiple transformer encoders
CTCycle/FEXT-Autoencoder
An autoencoder model to extract features from images and obtain their compressed vector representation, inspired by the convolutional VVG16 architecture
CTCycle/TokenExplorer
Explore public and custom tokenizers using different SOTA metrics