wamm0909's repositories
ML_Projects
利用图像分类模型训练图像embedding
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
Cascade-Mask-RCNN
Cascade Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow, based on matterport mrcnn
CIFAR-ZOO
PyTorch implementation of CNNs for CIFAR benchmark
CS231n-2017-Summary
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.
Deep-Learning-Interview-Book
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
deep_learning_project
Classification project to classify species of fish in videos.
ds-cheatsheets
List of Data Science Cheatsheets to rule the world
free-books
互联网上的免费书籍
Fuck-XueXiQiangGuo
学习强国 懒人刷分工具 自动学习
gfw_whitelist
gfw_whitelist
keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
lihang-code
《统计学习方法》的代码实现
machine_learning_code
机器学习与深度学习算法示例
Mask-Cascade-RCNN
A simple Mask-Cascade-RCNN implementation.
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
mljar-supervised
Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:
MoCo-v2
an implementation of MoCo and MoCo-v2 improvements pre-trained on Imagenette
MoCo_v3_pytorch
a pytorch implementation for MoCo V3
pytorch-doc-zh
Pytorch 中文文档
Robyn
Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset.
stockholm
一个股票数据（沪深）爬虫和选股策略测试框架
TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10
How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows
v2ray
最好用的 V2Ray 一键安装脚本 & 管理脚本
XYUUID
iOS14 UUID KeyChain DeviceInfo IDFA UDID