SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

Framework for AI-Powered Academic Discussion and Research Collaboration.

💫 Industrial-strength Natural Language Processing (NLP) in Python

[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…

Awesome Knowledge Distillation

Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.

State-of-the-Art Embeddings, Retrieval, and Reranking

The Modular Platform (includes MAX & Mojo)

Kolmogorov Arnold Networks

A basic NK landscape model in Python

A visual no-code/code-free web crawler/spider易采集：一个可视化浏览器自动化测试/数据采集/网页爬虫软件，可以无代码图形化的设计和执行爬虫任务。别名：ServiceWrapper面向Web应用的智能化服务封装系统。

Client for PPP+TLS VPN tunnel services

Graph Convolutional Networks (GCNs)

Track GitHub trending repositories in your favorite programming language by native GitHub notifications!

A library for working with Cellular Automata, for Python.

Automata on arbitrary networks, with Python

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Ranking Google Scholar search results based on the number of citations

LaTeX document class for ICIS (International Conference on Information Systems)

Academy of Management compliant LaTeX template

An (unofficial) LaTeX style based on the author guidelines of MISQ.

This is a python tutorial for Bayesian inferences using MCMC. It includes concepts of reject sampling, markov chain stationary distribution, and uses Python package pymc.

PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3

Webpage materials for AAPA network workshop

python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011

Gradient Noise group project for Research Skills for Computational Applied Mathematics

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

Materials for tutorial on Bayesian inference and machine learning, Ed Schofield, PyCon AU