Pinned Repositories
automl
Google Brain AutoML
awesome-mlops
A curated list of references for MLOps
brainverse
module-dataprocessing
A module for reproducible data processing
ni-terms
nidm-swagger-specs
NIDM API Swagger Specs
nidm-term-search
Term Search in NIDM File
nipype-interfaces
Learning nipype interfaces
smpadhy's Repositories
smpadhy/automl
Google Brain AutoML
smpadhy/awesome-mlops
A curated list of references for MLOps
smpadhy/brainverse
smpadhy/ni-terms
smpadhy/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
smpadhy/awesome-tlaplus
A curated list of TLA+ resources.
smpadhy/batfish
Batfish is a network configuration analysis tool that can find bugs and guarantee the correctness of (planned or current) network configurations. It enables network engineers to rapidly and safely evolve their network, without fear of outages or security breaches.
smpadhy/bids-validator
Validator for the Brain Imaging Data Structure
smpadhy/car-detection-yolo
Autonomous driving - car detection using the very powerful YOLO model
smpadhy/cinc-challenge2017
ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)
smpadhy/COVID-Net
COVID-Net model for COVID-19 detection on COVIDx dataset
smpadhy/data-science-template
Template for a data science project
smpadhy/DeepSearch
Reproduction Code for FSE Paper "DeepSearch: A Simple and Effective Blackbox Attack for Deep Neural Networks"
smpadhy/ecg
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
smpadhy/Fashion-MNIST-By-ResNet
Train Fashion-MNIST by ResNet With TensorFlow 2.0 Alpha
smpadhy/instruments
Repository created by BrainVerse to save and share forms being using during experimental studies
smpadhy/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
smpadhy/jsexp
Parser in Java for Lisp S-expressions.
smpadhy/json-logic-py
Build complex rules, serialize them as JSON, and execute them in Python
smpadhy/KerasBeats
Github Repository for the KerasBeats package. Easily import and use the NBeats NN architecture in Keras
smpadhy/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
smpadhy/PlusPy
Python interpreter for TLA+ specifications
smpadhy/practical-tla-plus
Source Code for 'Practical TLA+' by Hillel Wayne
smpadhy/ProjectManagement
smpadhy/python_data_science
Docker container with Jupyter, Matplotlib, Pandas, Tensorflow and Keras
smpadhy/quacky
A tool for quantitatively assessing permissiveness of access control policies in the cloud
smpadhy/rdfStoreExamples
smpadhy/satch
SAT Solver SATCH
smpadhy/synchronous-tla-benchmarks
Synchronous fault-tolerant distributed algorithms encoded in TLA+
smpadhy/tlaplus_jupyter
Jupyter kernel for TLA⁺