bobrown Goto Github PK

followers: 79.0 following: 18.0 repos: 35.0 gists: 0.0

Name: Bo Zhang

Type: User

Company: Shanghai AI Laboratory

Bio: Bo Zhang received the Ph.D. degree in electronic engineering from Fudan University, in 2022. He is currently a Researcher with Shanghai AI Laboratory.

Location: Shanghai ,China

Blog: https://bobrown.github.io/boZhang.github.io/

Bo Zhang's Projects

3dtrans

An open-source codebase for exploring the Autonomous Driving-oriented Transfer Learning Techniques

bozhang.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

caffe

Caffe on both Linux and Windows

caffe-ssd-microsoft

A Windows version implementation of SSD

ccda_lgfa

Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image Segmentation

chatgpt

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

conditional_gans

A tensorflow implementation about conditional generative adversarial nets

deeparsing

human paring project based on caffe tools

domainbed

DomainBed is a suite to test domain generalization algorithms

few-shot-meta-baseline

A New Meta-Baseline for Few-Shot Learning

fewshot_detection

Few-shot Object Detection via Feature Reweighting

gpt-2

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

holoclean

A Machine Learning System for Data Enrichment.

jadf-caffe

Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection

lancedb

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

llama

Inference code for LLaMA models

llm.c

LLM training in simple, raw C/CUDA

metatransformer

Meta-Transformer for Unified Multimodal Learning

minigpt-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

once_benchmark

One Million Scenes for Autonomous Driving

openpcdet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

poolformer

PoolFormer: MetaFormer is Actually What You Need for Vision

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.