"AI-Trader: Can AI Beat the Market?" Live Trading Bench: https://hkuds.github.io/AI-Trader/

FaceCat-Kronos是由 花卷猫量化研究团队 打造的一款金融量化工具。本项目基于清华大学最新开源的K线预测模型 Kronos，融合了前沿的人工智能技术，旨在为金融市场提供科学的分析与预测能力。 本工具能够对股票历史数据进行深度预训练，实现精准的做市商K线规划，并对未来市场走势进行科学推演，适用于量化研究、策略研发、交易决策支持、投研汇报、教学演示、二次开发。无论是基金、私募、荐股机构…

Python金融分析与量化交易实战教程课件

量化研究-券商金工研报复现

本项目是一个完整的量化投资因子分析系统，专注于中国股票市场的因子研究和指数增强策略。系统从原始数据获取开始，经过因子生成、预处理、单因子测试，最终实现因子合成和正交化，提供指数增强模型的构建。整个系统采用模块化设计，各个组件之间有明确的数据流转关系，形成了一个完整的量化投资研究框架。

👀 | MobileGaze: Real-Time Gaze Estimation models using ResNet 18/34/50, MobileNet v2 and MobileOne s0-s4 | In PyTorch >> ONNX Runtime Inference

无人机航拍目标监测

Python Backtesting library for trading strategies

Robust Semantic Segmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Adapting Segment Anything Model for Medical Image Segmentation

Marrying Grounding DINO with Segment Anything & Stable Diffusion & BLIP & Whisper - Automatically Detect , Segment and Generate Anything with Image, Text, and Speech Inputs

SAM (Segment Anything Model) for generating rotated bounding boxes with MMRotate, which is a comparison method of H2RBox-v2.

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 2023] A Generalist Painter for In-Context Visual Learning (https://arxiv.org/abs/2212.02499)

Pytorch Implementation of DeepIGeoS

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

iSegFormer: Interactive Video/Volume Segmentation using Vision Transformers

Code for ICLR 2023 paper Squeeze Training for Adversarial Robustness.

Official implementation and data release of the paper "Visual Prompting via Image Inpainting".

unofficial implement of paper "SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness"

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

SimpleClick: Interactive Image Segmentation with Simple Vision Transformers

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

The official PyTorch implementation of oral paper "FocusCut: Diving into a Focus View in Interactive Segmentation" in CVPR 2022.