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adanet_-

Fast and flexible AutoML with learning guarantees. adanet 波士顿房价

advanced-hyperparameter-optimization-techniques

HalvingGridSearch, HalvingRandomSearch, Bayesian Optimization, Keras Tuner, Hyperband optimization

ann-stratified-k-fold-cross-validation-keras-tensorflow

This repo contains examples of binary classification with ANN and hyper-parameter tuning with grid search.

apkeditor

AndroidManifest.xml 二进制编辑和签名工具

building-a-cnn-network-using-keras-and-tensorflow-and-tune-hyperparameters

CNN network using K-fold cross validation

building-a-neural-network-model-using-keras-and-tuning-hyperparameters

Data preprocessing, and tuning various hyper parameters to see if the model performs better.

charles-crack

Charles 破解工具

chatapi-wechat

Java版本微信聊天接口，使用网页微信API，让你能够开发自己的微信聊天机器人

cicadascms

CicadasCMS

convolutional-neural-network

import BN

cosine-similarity-using-python

Cosine Similarity is a commonly used approach to match similar documents is based on counting the maximum number of common words between the documents. Mathematically, Cosine similarity measures the cosine of the angle between two vectors projected in a multi-dimensional space.

creatingcustomlossfunctionstf

Defining custom loss functions or objects in TensorFlow. From the course Custom Models, Layers, and Loss Functions with TensorFlow, DeepLearning.AI, Coursera, Week 2 - Custom Loss Functions

custom-loss-functions-implementation-in-tensorflow

This notebook implements 12 different custom loss functions in tensor flow and uses them with a study on MNIST and CIFAR10 datasets

custom-models-layers-loss-functions-with-tensorflow

custom-models-layers-loss-functions-with-tensorflow

custom_loss_functions_in_tensorflow

custom_loss_layer

Implementation of Custom loss function and custom layer in Tensorflow and Keras

custom_models_layers_loss_functions_with_tensorflow

data-competition-topsolution

Data competition Top Solution 数据竞赛top解决方案开源整理

deap-cnn-lstm

Emotion recognition based on DEAP dataset using One-Dimensional CNN, dan RNN (GRU, and LSTM).

deap-emotion-recognition

Emotion Recogniton LSTM RNN Arousal Valence

deconstructing-lottery-tickets

deep-learning-specialization-tensorflow-advanced-techniques

Custom Models, Layers, and Loss Functions with TensorFlow by courser

deep-neural-networks-for-stock-price-prediction

Comparative Analysis of Conv1D-LSTM with CNN , LSTM for Stock Price Prediction

deep_learning_recommender_system

Explore CNN/LSTM/GRU parallel architectures for movie recommendations using Keras & TensorFlow in Python

demo_proejct

JavaEE项目开发脚手架

easycaptcha

Java图形验证码，支持gif、中文、算术等类型，可用于Java Web、JavaSE等项目。

ehcache

java缓存ehcache3.x

ensemble-model-using-scikit-learn-and-tensorflow

I have predicted the stock prices using an average ensembling of the predictions from scikit learn and tensorflow

ensemblelearning

包括决策树和随机森林进行离职人员预测，Xgboost和lightGBM的应用

febs-shiro

Spring Boot 2.0.4 & Shiro1.4.0 权限管理系统。预览地址：http://111.230.157.133/febs