wxl976147169's Stars
jpmorganchase/python-training
Python training for business analysts and traders
purvasingh96/AI-for-Trading
📈This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com
chenditc/investment_data
Scripts and doc for https://www.dolthub.com/repositories/chenditc/investment_data
hengxuZ/binance-quantization
虚拟货币(BTC、ETH)炒币量化系统项目。币安交易所-量化交易-网格策略实践。火币、OKEX热门交易所未来都支持。最简单收益最靠谱的项目,包教包会。
1nchaos/adata
免费开源A股量化数据库; 专注A股,专注量化,向阳而生; 开放、纯净、持续、为Ai(爱)发电。为个人量化交易而生,保卫3000(2500)点,珍惜底部机会......【股票数据,股票行情数据,股票量化数据,股票交易数据,k线行情数据,股票概念数据,股票数据接口,行情数据接口】【多数据源融合,动态设置代理,保障数据高可用性】
LiLittleCat/awesome-free-chatgpt
🆓免费的 ChatGPT 镜像网站列表,持续更新。List of free ChatGPT mirror sites, continuously updated.
mit-biomimetics/Cheetah-Software
wtwong316/Univariate-Time-Series-Prediction-using-Deep-Learning
Univariate Time Series Prediction using Deep Learning and PyTorch
openvinotoolkit/anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
WongKinYiu/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
HumanSignal/labelImg
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
DataXujing/YOLO-v5
:art: Pytorch YOLO v5 训练自己的数据集超详细教程!!! :art: (提供PDF训练教程下载)
huangyebiaoke/steel-pipe-weld-defect-detection
Deep Learning Based Steel Pipe Weld Defect Detection
lmomoy/LF-YOLO
LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image.
shellysheynin/A-Hierarchical-Transformation-Discriminating-Generative-Model-for-Few-Shot-Anomaly-Detection
Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"
dengzhuo-AI/Real-Fundus
Fei-Long121/DeepBDC
The Pytorch code of "Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification", CVPR 2022 (Oral).
chunbolang/BAM
Official PyTorch Implementation of Learning What Not to Segment: A New Perspective on Few-Shot Segmentation (CVPR'22 Oral & TPAMI'23).
Reagan1311/ASGNet
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation (CVPR 2021)
TinyAway/MANet
tuna/thuthesis
LaTeX Thesis Template for Tsinghua University
xueruini/thuthesis
LaTeX Thesis Template for Tsinghua University
ShawnBIT/Loss-family
Some classical and cutting-edge loss in semantic segmentation task
Wi-sc/BriNet
Few-shot Segmentation
yhcao6/FADI
ZhangGongjie/Meta-DETR
[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation
Seokju-Cho/Volumetric-Aggregation-Transformer
Official Implementation of VAT
xiaomengyc/Few-Shot-Semantic-Segmentation-Papers
Few Shot Semantic Segmentation Papers
2006pmach/awesome-few-shot-object-detection