Pinned Repositories
BrainBench
Source code for <Large language models surpass human experts in predicting neuroscience results>
matching_experts
Source code for <Matching domain experts by training from scratch on domain knowledge>
brain_data
Source code for brain data processing and analysis in paper <A controller-peripheral architecture and costly energy principle for learning>
CostlyEnergyPrinciple
CostsBenefitsAttention
Source code for paper <The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks>
finetune
Source code for DNN finetuning pipeline in paper <A controller-peripheral architecture and costly energy principle for learning>
Space
Source code for <The inevitability and superfluousness of cell types in spatial cognition>
sustain_python
A version of the SUSTAIN model of category learning (Love, Medin, & Gureckis, 2004) implemented in Python
thinking_fast_and_slow
Source code for <Thinking Fast and Slow - A novel multi-region computational-modelling framework for conceptual knowledge learning and consolidation> (WIP)
vision-reps
don-tpanic's Repositories
don-tpanic/Space
Source code for <The inevitability and superfluousness of cell types in spatial cognition>
don-tpanic/brain_data
Source code for brain data processing and analysis in paper <A controller-peripheral architecture and costly energy principle for learning>
don-tpanic/thinking_fast_and_slow
Source code for <Thinking Fast and Slow - A novel multi-region computational-modelling framework for conceptual knowledge learning and consolidation> (WIP)
don-tpanic/CostsBenefitsAttention
Source code for paper <The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks>
don-tpanic/finetune
Source code for DNN finetuning pipeline in paper <A controller-peripheral architecture and costly energy principle for learning>
don-tpanic/CostlyEnergyPrinciple
don-tpanic/DeepLangThought
Source code for paper <A Deep Learning Account of How Language Affects Thought>
don-tpanic/FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
don-tpanic/online-cv
don-tpanic/stage_tracking
Sample scripts for chatbot diaglog stage tracking
don-tpanic/vision-reps
don-tpanic/website
don-tpanic/alcove
PyTorch implementation of ALCOVE
don-tpanic/attention_v2.0
don-tpanic/Baichuan-7B
A large-scale 7B pretraining language model developed by BaiChuan-Inc.
don-tpanic/blog
Public repo for HF blog posts
don-tpanic/Folder-Structure-Conventions
Folder / directory structure options and naming conventions for software projects
don-tpanic/gradient_descent_learning
Experiment on gradient descent and human category learning.
don-tpanic/learning_alignment
Code associated with alignment experiment paper
don-tpanic/levels-of-representation-in-a-deep-learning-model-of-categorization
Levels of Representation in a Deep Learning Model of Categorization
don-tpanic/lm-evaluation-harness
A framework for few-shot evaluation of autoregressive language models.
don-tpanic/lovebc.github.io
Website for @lovebc http://bradlove.org
don-tpanic/lovelab
lovelab (public)
don-tpanic/lovelabucl.github.io
Website for BrainGPT https://braingpt.org
don-tpanic/Neural-SCL-Domain-Adaptation
The code base for the article "Neural Structural Correspondence Learning for Domain Adaptation", CoNLL 2017
don-tpanic/nsprcomp
An R package for non-negative and sparse PCA
don-tpanic/psiz
A python package for inferring psychological embeddings.
don-tpanic/quantised-bayesian-nets
On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks
don-tpanic/tidy-models
don-tpanic/tinynn
A lightweight deep learning library