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100-days-of-ml-code

100 Days of ML Coding

awesome-python-applications

💿 Free software that works great, and also happens to be open-source Python.

caffe-tensorflow

Caffe models in TensorFlow

dataanalysis

Python数据分析教程的资料

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

fineturn-alexnet-with-tensorflow

image_classification_with_5_methods

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

imagenet

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)

machine_learning_lab2

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）

practicalai

📚 A practical approach to machine learning to enable everyone to learn, explore and build.

pso-cnn

USE PSO algorithm to optimize VGG in CIFAR-10 dataset。

python

All Algorithms implemented in Python

pytorch-handbook

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

pytorch-tutorial

Build your neural network easy and fast

pytorch_alexnet

pytorch_alexnet-1

pytorch_alexnet-2

road-surface-classification

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-1

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

svm-image-classification

Image Classification with `sklearn.svm`

tensorflow

B站课程代码

tensorflow-2.x-tutorials

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。

tensorflow-vgg

VGG19 and VGG16 on Tensorflow

tensorflow_alexnet_classify

tensorflow_alexnet_classify (details http://www.cnblogs.com/vipyoumay/p/7686230.html)

tradaboostwithsklearn

package the TradaBoost with different sklearn learner, better performance on LightGBM

transfer-adaboost-

This is my implementation of Wenyuan Dai's Tradaboost algorithm