A database of paths that represent the mechanism of action from a drug to a disease in an indication.
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A database of paths that represent the mechanism of action from a drug to a disease in an indication.
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.
SplineDist: Automated Cell Segmentation with Spline Curves
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Research experiments exploring uncommon quant techniques.
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.
Cell and line magic for PGF/TikZ-to-SVG rendering in Jupyter notebooks
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
Agentic LLM CTF to test prompt injection attacks and preventions
CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
Sources for the Network Science Cheatsheets
Various examples of notebooks for working with web archives with the Archives Unleashed Toolkit, and derivatives generated by the Archives Unleashed Toolkit.
Signal generators ( AD9833, AD9834, AD9850, ADF4351) tools box.
A multi-language tokenizer for extracting identifiers from source code.
Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.
Compiles Transportation Speed and Ridership Data
A coding exercise: let's convert dirty machine learning code into clean code using a Pipeline - which is the Pipe and Filter Design Pattern applied to Machine Learning.
Graviton: verify your TEAL program by experiment and observation
Display Youtube metrics using Google API and MicroPython