Ollama Python library

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

An open source, Python-based software platform for energy storage simulation and analysis developed by Sandia National Laboratories.

chemicals: Chemical database of Chemical Engineering Design Library (ChEDL)

《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

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

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

Hands-on Exploratory Data Analysis with Python, published by Packt

High-speed Large Language Model Serving on PCs with Consumer-grade GPUs

The official sources for the RDKit library

AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head

The Docker-based Open edX distribution designed for peace of mind

The Open edX LMS & Studio, powering education sites around the world!

Code repository for O'Reilly book

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

[Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime

Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown

🐸TTS recipes for different datasets

Inference code for LLaMA models

Inference code for Llama models

Notes, exercises and other materials related to causal inference, causal discovery and causal ML.

Powerball Lottery Number Generation with Machine Learning

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

Keras implementations of Generative Adversarial Networks.

Some notes on Causal Inference, with examples in python