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).
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
Single Python Script to mutate polygons and evaluate their fitness based on a target image.
NeuroBridge API — 123 endpoints, 55+ analysis modules for brain organoid data. Organoid IQ, STDP, attractors, consciousness metrics, and more.
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.
Using K Means and R Language, K-Means algorithm applied the elbow method to get the optimal k, which is equal to 7.
No-framework browser visualizer for cl-sdk simulator streams, recording replay, and channel-grid/3D previews.
A curated list of awesome Biological Computing (Biocomputing) resources.
Applied Particle Swarm Optimization (PSO) to find global maxima and minima of multivariable functions.
Verified a 4-state Deterministic Finite Automata (DFA) using multi McCulloch–Pitt neural networks.
Replicating a Multi-Functional Synthetic Gene Network
WebCM is a web platform used to develop and run bacterial simulations
Neuro-Ensemble Distillation (NED) — A cross-domain framework for stabilizing cultured-neuron computing using Cortical Labs platforms (CL1, DishBrain). Includes paper, simulations, and supplementary code (Python/JSON IR).
Aurora Survival BioCLIP - iOS native
Applying k-mean clustering on a dataset using R.
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