don-tpanic Goto Github PK
Name: Ken Luo
Type: User
Bio: Researcher in CompNeuro, AI, building BrainGPT and LLM evals.
Name: Ken Luo
Type: User
Bio: Researcher in CompNeuro, AI, building BrainGPT and LLM evals.
PyTorch implementation of ALCOVE
A large-scale 7B pretraining language model developed by BaiChuan-Inc.
Public repo for HF blog posts
Source code for brain data processing and analysis in paper <A controller-peripheral architecture and costly energy principle for learning>
Source code for paper <The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks>
Source code for paper <A Deep Learning Account of How Language Affects Thought>
Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Source code for DNN finetuning pipeline in paper <A controller-peripheral architecture and costly energy principle for learning>
Folder / directory structure options and naming conventions for software projects
Experiment on gradient descent and human category learning.
Code associated with alignment experiment paper
Levels of Representation in a Deep Learning Model of Categorization
A framework for few-shot evaluation of autoregressive language models.
Website for @lovebc http://bradlove.org
lovelab (public)
Website for BrainGPT https://braingpt.org
The code base for the article "Neural Structural Correspondence Learning for Domain Adaptation", CoNLL 2017
An R package for non-negative and sparse PCA
A python package for inferring psychological embeddings.
On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks
Source code for <The inevitability and superfluousness of cell types in spatial cognition>
Sample scripts for chatbot diaglog stage tracking
The code base for the SCL implementation used in "Neural Structural Correspondence Learning for Domain Adaptation", CoNLL 2017
A version of the SUSTAIN model of category learning (Love, Medin, & Gureckis, 2004) implemented in Python
Source code for <Thinking Fast and Slow - A novel multi-region computational-modelling framework for conceptual knowledge learning and consolidation> (WIP)
A lightweight deep learning library
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.