Search Results for "crowd simulation code"
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Showing 7 open source projects for "crowd simulation code"
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AICGSecEval
A.S.E (AICGSecEval) is a repository-level AI-generated code security
AICGSecEval is an open-source benchmark framework designed to evaluate the security of code generated by artificial intelligence systems. The project was developed to address concerns that AI-assisted programming tools may produce insecure code containing vulnerabilities such as injection flaws or unsafe logic. The framework constructs evaluation tasks based on real-world software repositories and known vulnerability cases derived from CVE records. By simulating realistic development... -
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LingBot-World
Advancing Open-source World Models
...The project is fully open-access, releasing both code and models to help bridge the gap between closed and open world-model systems. LingBot-World empowers researchers and developers in areas such as content creation, gaming, robotics, and embodied AI learning. -
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Experiential
Experiential is the open source, zero markup gateway for BYOK
...It collects execution traces to evaluate model performance, costs, and response speed. Developers can optimize custom routing strategies using real agent traffic and simulation workflows. It also supports fine-tuning specialized open-source models based on collected interactions. Experiential integrates with coding agents such as Claude Code, Codex, and Cursor and provides configurable telemetry, access controls, and local deployment options. -
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Google DeepMind GraphCast and GenCast
Global weather forecasting model using graph neural networks and JAX
GraphCast, developed by Google DeepMind, is a research-grade weather forecasting framework that employs graph neural networks (GNNs) to generate medium-range global weather predictions. The repository provides complete example code for running and training both GraphCast and GenCast, two models introduced in DeepMind’s research papers. GraphCast is designed to perform high-resolution atmospheric simulations using the ERA5 dataset from ECMWF, while GenCast extends the approach with... -
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5
Fractal Neuro Oscillator
A fractal neural network
Human generated, No AI code or concept. The Fractal Neuro Oscillator is a neural network made up of threshold logic elements connected in a fractal manner. In a conventional network, information enters at the synapses and neurons fire or not. With a Fractal Neuro Oscillator, the synapse connections are randomized and information enters by firing neurons and then measuring the percentage of time firing of select neurons to generate an output value. These oscillation states can be... -
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Automated Interpretability
Code for Language models can explain neurons in language models paper
The automated-interpretability repository implements tools and pipelines for automatically generating, simulating, and scoring explanations of neuron (or latent feature) behavior in neural networks. Instead of relying purely on manual, ad hoc interpretability probing, this repo aims to scale interpretability by using algorithmic methods that produce candidate explanations and assess their quality. It includes a “neuron explainer” component that, given a target neuron or latent feature,... -
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Game of Turmites
Conway's Game of Life and Turmites Combined!
This really isn't a game. It's all very randomly generated, and there is no way for any user input. I'll consider putting some in later. I had been wanting to make the Game of Life for some time as well as make some kind of genetic algorithm based code. So, here is what I came up with. While this may just seem like simplify a graphical display of what boredom looks like... well, it really doesn't go much past that point. If you Don't know what Conway's game of life is: It's the...
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