Lei Shang's Projects
Sample code and notebooks for Generative AI on Google Cloud
Generative Agents: Interactive Simulacra of Human Behavior
BCGDV GovHack 2018
Experiments with hypothesis testing and sampling
Sample programs for the Kafka 0.9 API
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
β‘ Building applications with LLMs through composability β‘
LangChain CheatSheet
Code From Learning Akka
Example code from Learning Spark book
:pencil: Python / C++ 11 Solutions of LeetCode Questions
Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)
Examples and recipes for Llama 2 model
The official GitHub page for the survey paper "A Survey of Large Language Models".
Hi, I'm Lei Shang
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Niagara is a DaaS platform implemented by Spark+Spray+Akka+Kafka+Cassandra
Natural language processing
An open source implementation of CLIP.
Examples and guides for using the OpenAI API
Pandas Examples
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media