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Machine Learning Experiments ⭐ 1,552

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

Dl_tutorials ⭐ 1,522

Deep learning tutorials (2nd ed.)

A lightweight C library for artificial neural networks

Easy Deep Learning With Keras ⭐ 336

Keras tutorial for beginners (using TF backend)

Fast Pytorch ⭐ 299

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

《Web安全之深度学习实战》

Lightnet ⭐ 236

Efficient, transparent deep learning in hundreds of lines of code.

Sentence Classification ⭐ 180

Sentence Classifications with Neural Networks

Sentencesentimentclassifier ⭐ 92

Sentiment Classifier base on traditional Maching learning methods, eg Bayes, SVM ,DecisionTree, KNN and Deeplearning method like MLP,CNN,RNN(LSTM). 基于机器学习与深度学习方法的情感分析算法实现与对比，包括决策树，贝叶斯，KNN, SVM ,MLP, CNN, LSTM实现

Copper_price_forecast ⭐ 73

copper price(time series) prediction using bpnn and lstm

Complexnn ⭐ 73

A toolbox for using complex valued standard network modules in PyTorch.

Avito Demand ⭐ 54

Avito Demand Prediction Challenge 🏬

Speakerdiarization_rnn_cnn_lstm ⭐ 52

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

Basic_nns_in_frameworks ⭐ 50

several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]

OpenCL for Nets - A Deep Learning Framework based on OpenCL, written by C++. Supports popular MLP, RNN(LSTM), CNN(ResNet). Friendly debugger. Transparent data. No library dependencies. 基于OpenCL的深度学习计算框架，C++开发，支持多层感知器，长短时记忆模型，卷积神经网络，残差网

Tensorflow_ml_algorithms ⭐ 40

Implementations of machine learning algorithms in Tensorflow: MLP, RNN, autoencoder, PageRank, KNN, K-Means, logistic regression, and OLS regression

Malware_detect2 ⭐ 38

Malware Classification using Machine learning

Keras Examples ⭐ 37

Keras样例解析

Explaining Dl ⭐ 34

Time Series Forecasting Keras ⭐ 34

time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.

Chinesepoemgeneration ⭐ 25

基于深度学习的古诗生成(deep learning based Chinese poem generation)

Pytorch Scholarship Challenge ⭐ 18

All the codes and daily report for PyTorch Scholarship Challenge!

Simple Implementation Of Ml Algorithms ⭐ 17

My simplest implementations of common ML algorithms

Hft Prediction ⭐ 14

Machine learning approach to high frequency trading, MLP & RNN used

Tensorflow_examples ⭐ 14

reference code for tensorflow

Dnn Quant ⭐ 13

Tool for building deep / recurrent neural network models for systematic fundamental investing.

Nebula: Lightweight Neural Network Benchmarks

Machinelearning ⭐ 7

Deep learning and machine learning example codes for practice

Sru_for_gci ⭐ 7

Statistical Recurrent Unit based time series generative models for detecting nonlinear Granger causality

go版本机器学习框架

Tensorflow 1month ⭐ 6

Tensorflow tutorials for 1month

Trajectoryprediction ⭐ 5

Undertale_deltarune_soundtrack_generator ⭐ 5

My first big personal machine learning (specifically deep learning) project! I'm going to train neural networks to learn patterns from the Undertale OST, then make it generate original soundtrack with similar style!

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