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100 Days of ML Coding
💿 Free software that works great, and also happens to be open-source Python.
Caffe models in TensorFlow
Python数据分析教程的资料
deep learning for image processing including classification and object-detection etc.
A collection of various deep learning architectures, models, and tips
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow
This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
机器学习课程中的实验二(使用mnist与usps数据集,采用BP神经网络与SVM支持向量机的方式实现手写数字的识别)
📚 A practical approach to machine learning to enable everyone to learn, explore and build.
USE PSO algorithm to optimize VGG in CIFAR-10 dataset。
All Algorithms implemented in Python
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
Build your neural network easy and fast
In emerging countries it’s common to find unpaved roads or roads with no maintenance. Unpaved or damaged roads also impact in higher fuel costs and vehicle maintenance. This kind of analysis can be useful for both road maintenance departments as well as for autonomous vehicle navigation systems to verify potential critical points. The road type and quality classifier was done through a simple Convolutional Neural Network with few steps.
Road Surface Type Classification Based on Inertial Sensors and Machine Learning: A Comparison Between Classical and Deep Machine Learning Approaches For Multi-Contextual Real-world Scenarios
Image Classification with `sklearn.svm`
B站课程代码
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
VGG19 and VGG16 on Tensorflow
tensorflow_alexnet_classify (details http://www.cnblogs.com/vipyoumay/p/7686230.html)
package the TradaBoost with different sklearn learner, better performance on LightGBM
This is my implementation of Wenyuan Dai's Tradaboost algorithm
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.