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Zeming Fang's Projects

code-for-modeling-chapters icon code-for-modeling-chapters

Replicate some results in Farrell, S., & Lewandowsky, S. (2018). Computational modeling of cognition and behavior. Cambridge University Press.

deepbeliefnetwork icon deepbeliefnetwork

Replicate the Zorzi, M., Testolin, A., & Stoianov, I. P. (2013). Modeling language and cognition with deep unsupervised learning: a tutorial overview. Frontiers in psychology, 4, 515. on MNIST DATA

diffusion-probabilistic-model icon diffusion-probabilistic-model

A self-tutorial repo on the diffusion probabilistic model in Ho et al. (2020). The code is mostly referenced on https://www.bilibili.com/video/BV1b541197HX/?spm_id_from=333.999.0.0&vd_source=4bddf76b04f5705292d795a2246cdb65

dyva icon dyva

Replicate some results in Jaffe, P. I., Poldrack, R. A., Schafer, R. J., & Bissett, P. G. (2023). Modelling human behaviour in cognitive tasks with latent dynamical systems. Nature Human Behaviour, 1-15.

ecpg icon ecpg

Code for the paper "learning generalizable representations through efficient coding"

forward-forward-alg icon forward-forward-alg

A repo trying to replicate some results reported in Hinton, G. (2022). The forward-forward algorithm: Some preliminary investigations. arXiv preprint arXiv:2212.13345.

jaxbasic icon jaxbasic

Get a basic understanding of the JAX package. Implement on the MNIST data set.

mfit icon mfit

Simple model-fitting tools

orthogonal-representation icon orthogonal-representation

Replicate some results in Flesch, T., Juechems, K., Dumbalska, T., Saxe, A., & Summerfield, C. (2022). Orthogonal representations for robust context-dependent task performance in brains and neural networks. Neuron, 110(7), 1258-1270.

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