Stars
Methods for Specifying, Simulating from and Fitting Causal Models
Software implementations of engression by Shen and Meinshausen (2023)
This is the official GitHub repository for our survey paper "Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models".
A continuously updated collection of CodeLLM papers maintained by PurCL group @ Purdue
The most comprehensive Python package for evaluating survival analysis models.
Bayesian Modeling and Probabilistic Programming in Python
Fast, flexible and easy to use probabilistic modelling in Python.
A guidance language for controlling large language models.
EasyTPP: Towards Open Benchmarking Temporal Point Processes
A framework for few-shot evaluation of language models.
AI Chat Browser: Fast, Full webapp access to ChatGPT / Claude / Bard / Bing / Llama2! I use this 20 times a day.
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
A curated list of state-of-the-art papers on deep learning for universal representations of time series.
LLMs interview notes and answers:该仓库主要记录大模型（LLMs）算法工程师相关的面试题和参考答案
A high-throughput and memory-efficient inference and serving engine for LLMs
Generative AI with Large Language Models on Coursera offered by Deeplearning.AI and AWS.
A customizable pipeline for data extraction from MIMIC-IV; now multimodal!
This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaof…
Source code/webpage/demos for the What-If Tool
Convolution dictionary learning for time-series
Curated list of awesome open source healthcare software, libraries, tools and resources.
A curated list of awesome open source healthcare tools, algorithms, datasets and research papers.
VIP cheatsheets for Stanford's CS 229 Machine Learning