Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
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Updated
Mar 31, 2026 - Python
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
A Python package for the simulation of organoids for the purpose of studying Organoid Intelligence (OI) and Organoid Learning (OL).
Concept paper for using living mycelium as a self-repairing substrate for AI, plus a Python prototype: scikit-learn models that predict mycelium growth from environmental readings, served with FastAPI. Bring your own data; no bio-interface yet.
A closed-loop UDP interface between Cortical Labs' CL1 biocomputer and Unreal Engine: receive living-neuron spikes as gameplay events, send electrical stimulation back as feedback.
A Bidirectional LSTM Network and EEG-Response Organoid for simulating neural responses to classical piano music.
bio-inspired computing course assignments and projects, Fall-2018
Projects written in CELLO
The content of this repository belongs to the Bio-Computing coursework of my Integrated BS-MS in Biology from Indian Institute of Science Education and Research Mohali, India.
A curated list of awesome Biological Computing (Biocomputing) resources.
NeuroBridge API — 123 endpoints, 55+ analysis modules for brain organoid data. Organoid IQ, STDP, attractors, consciousness metrics, and more.
Single Python Script to mutate polygons and evaluate their fitness based on a target image.
Aurora Survival BioCLIP - iOS native
No-framework browser visualizer for cl-sdk simulator streams, recording replay, and channel-grid/3D previews.
Using K Means and R Language, K-Means algorithm applied the elbow method to get the optimal k, which is equal to 7.
Applied Particle Swarm Optimization (PSO) to find global maxima and minima of multivariable functions.
Replicating a Multi-Functional Synthetic Gene Network
WebCM is a web platform used to develop and run bacterial simulations
Verified a 4-state Deterministic Finite Automata (DFA) using multi McCulloch–Pitt neural networks.
Applying k-mean clustering on a dataset using R.
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