所有小初高、大学PDF教材。

A game theoretic approach to explain the output of any machine learning model.

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

A library for scientific machine learning and physics-informed learning

Handout for the tutorial "Creating publication-quality figures with matplotlib"

List of papers about Proteins Design using Deep Learning

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.

Toolbox for molecular animations in Blender, powered by Geometry Nodes.

Simple example of using a CSI-Camera (like the Raspberry Pi Version 2 camera) with the NVIDIA Jetson Developer Kit

Oxford Nanopore's Basecaller

Scientific Inkscape: Inkscape extensions for figure resizing and editing

Learning nonlinear operators via DeepONet

Signal-level algorithms for MinION data

🌊 Numerically solving and backpropagating through the wave equation

Raw nanopore signal mapper that enables real-time targeted sequencing

Collected scripts for Pymol

Sequence correction provided by ONT Research

😎 curated list of open source photonics projects

A PyTorch Basecaller for Oxford Nanopore Reads

Data and analysis for NA12878 genome on nanopore

First Open-Source Industry-Specific Model for Semiconductors

UniRep model, usage, and examples.

A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data

Photonic optimization library

A library for Koopman Neural Operator with Pytorch.

A curated list of awesome nanopore analysis tools.

NixOS module for NVIDIA Jetson devices

Nanopore sequence read simulator