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Instruct-tune LLaMA on consumer hardware
NPUtest
[STACOM 2018] Multi-task Learning for Left Atrial Segmentation on GE-MRI. This repository contains training and testing code for atrial segmentation challenge 2018.
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, Oral, 2020
Google Brain AutoML
This is the official pytorch implementation for paper: BiDet: An Efficient Binarized Object Detector, which is accepted by CVPR2020.
Source codes of "CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection"
中文 LLaMA-2 & Alpaca-2 大模型二期项目 + 本地CPU/GPU训练部署 (Chinese LLaMA-2 & Alpaca-2 LLMs)
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Pytorch code for the paper "Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty".
DSMT-Net code
Free AUTOGPT with NO API is a repository that offers a simple version of Autogpt, an autonomous AI agent capable of performing tasks independently. Unlike other versions, our implementation does not rely on any paid OpenAI API, making it accessible to anyone.
Source code for DCL-Net, a deep learning model for sensorless freehand 3D ultrasound volume reconstruction.
graph wavenet
Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs
Implementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020)
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Noise-Aware Fully Webly Supervised Object Detection
NAS-FCOS: Fast Neural Architecture Search for Object Detection (CVPR 2020)
Ruhan Liu, Mengyao Liu, Bin Sheng, Huating Li, Ping Li, Haitao Song, Ping Zhang, Lixin Jiang, Dinggang Shen: NHBS-Net: A Feature Fusion Attention Network for Ultrasound Neonatal Hip Bone Segmentation. IEEE Trans. Medical Imaging 40(12): 3446-3458 (2021)
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.
[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.