F# for Jupyter Notebooks
- f-sharp
- jupyter
- jupyter-notebook
47,133 repositories indexed
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F# for Jupyter Notebooks
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
Jupyter's kernel for Elixir programming language
An OCaml kernel for Jupyter (IPython) notebook
Materials for GWU DNSC 6279 and DNSC 6290.
An enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)
Wrapper for RDKit's RunReactants to improve stereochemistry handling
Optimising chemical reactions using machine learning
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
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.
Exercises for the lecture "Selected Topics in Audio Signal Processing"
Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier Transform (STFT) and Laplace transform, in Python.
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
Tools for drawing 2d and 3d interactive visualizations using Jupyter proxy widgets
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
Mobile Deep Learning Projects, published by Packt
Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
The repository host gives no description.
Agentic LLM CTF to test prompt injection attacks and preventions
A simple data project for Steam data
American Sign Language Detection is a deep learning end to end project where we can detect American Sign Language.