Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

Data science interview questions and answers

Supplementary code for paper "Bayesian workflow for disease transmission model".

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

NYU Deep Learning Spring 2020

The Data Engineering Cookbook

Interactive Brokers TWS API -- Historical data downloader

An introduction to recommendation systems in Python

Python code for common Machine Learning Algorithms

This is a tutorial for generating word embedding with genism word2vec model

An NLP workshop about concrete solutions to real problems

Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).

Code samples used on cloud.google.com

R scripts for figures and analysis for paper on using Bayesian hierarchical latent variable models for analyzing economic survey data

Deep probabilistic analysis of single-cell and spatial omics data

Reproducing the experiments of the paper "Deep generative modeling for single-cell transcriptomics"

Probability and Statistics: a simulation-based introduction. An open-access book.

Attention based model for learning to solve different routing problems

A docker container containing an installation of texlive as well as several useful scripts.

Hierarchical Bayesian Modeling of English Premier League

LaTeX files for the Deep Learning book notation

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition

RStan, the R interface to Stan

Collection of helper packages for tex4ht configuration