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This repository contains the code and dataset for our paper titled Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations accepted at WSDM Con…
Inference case studies in jupyter
Materials for the EMLAR Bayes 1 and 2 tutorials
A repository for working through the Bayesian statistics book "Statistical Rethinking" by Richard McElreath.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
a short guide on how to use iohub when using Tobii Eye Trackers with PsychoPy Builder.
Master programming by recreating your favorite technologies from scratch.
ESL exercises
Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for using JAGS with pyjags, the JAGS Wiener module, mixture modelin…
List of my most used commands and shortcuts in the terminal for Mac
code for reading and processing Allen Institute for Brain Science data
Statistical Rethinking course winter 2022
GPU-Jupyter: Leverage the flexibility of Jupyterlab through the power of your NVIDIA GPU to run your code from Tensorflow and Pytorch in collaborative notebooks on the GPU.
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
WIP: Roadmap to becoming a machine learning engineer in 2020
A topic-centric list of HQ open datasets.
Udacity's Deep Learning Nano Foundation program.
A collection of openFrameworks apps for working with machine learning
Project 2 for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Roadmap to becoming an Artificial Intelligence Expert in 2022
MATLAB and JAGS code for inferring switches in decision-making strategies in multi-attribute choice tasks
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
Repo for the Deep Learning Nanodegree Foundations program.
AIND Term 2 -- Lesson on Convolutional Neural Networks
Library for analyzing semantic fluency data and estimating semantic networks
A Live Movie Rating Dataset Collected From Twitter
Content for Udacity's Machine Learning curriculum
《美国反对美国》是王沪宁先生在上世纪80年代末赴美观察写作的。我们知道在那个年代中国对西方特别是美国的追捧有多高，所以突然看到一个学者在80年代就有如此清楚的认识，十分钦佩。由于网上只有效果很差的PDF扫描版，所以我想利用OCR技术和肉眼（人体OCR）来转成现代化的文本格式。目前已经全部完成。