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Haoran Lai's Projects

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

blip icon blip

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

chatllama icon chatllama

ChatLLaMA 📢 Open source implementation for LLaMA-based ChatGPT runnable in a single GPU. 15x faster training process than ChatGPT

colossalai icon colossalai

Making large AI models cheaper, faster and more accessible

deepspeed icon deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

dolly icon dolly

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

fastchat icon fastchat

An open platform for training, serving, and evaluating large languages. Release repo for Vicuna and FastChat-T5.

gpt-2 icon gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

llmsurvey icon llmsurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

lmflow icon lmflow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Model for All.

m3ae icon m3ae

[MICCAI-2022] This is the official implementation of Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training.

segment-anything icon segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

stanford_alpaca icon stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

universeg icon universeg

UniverSeg: Universal Medical Image Segmentation

visual-med-alpaca icon visual-med-alpaca

Visual Med-Alpaca is an open-source, multi-modal foundation model designed specifically for the biomedical domain, built on the LLaMa-7B.

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