Ml codeA repository for recording the machine learning code
Stars: ✭ 75 (-99.77%)
ml经典机器学习算法的极简实现
Stars: ✭ 130 (-99.6%)
MachineLearningImplementations of machine learning algorithm by Python 3
Stars: ✭ 16 (-99.95%)
Machine Learning⚡机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Stars: ✭ 5,601 (-82.67%)
Prince👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)
Stars: ✭ 591 (-98.17%)
Mnist ClassificationPytorch、Scikit-learn实现多种分类方法,包括逻辑回归(Logistic Regression)、多层感知机(MLP)、支持向量机(SVM)、K近邻(KNN)、CNN、RNN,极简代码适合新手小白入门,附英文实验报告(ACM模板)
Stars: ✭ 109 (-99.66%)
KMeans elbowCode for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
Stars: ✭ 35 (-99.89%)
battery-rul-estimationRemaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs
Stars: ✭ 25 (-99.92%)
Pytorch Kaldipytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
Stars: ✭ 2,097 (-93.51%)
ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Stars: ✭ 345 (-98.93%)
air writingOnline Hand Writing Recognition using BLSTM
Stars: ✭ 26 (-99.92%)
CS231nMy solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
Stars: ✭ 30 (-99.91%)
myDLDeep Learning
Stars: ✭ 18 (-99.94%)
Machine-Learning-ModelsIn This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
Stars: ✭ 30 (-99.91%)
deep-improvisationEasy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.
Stars: ✭ 53 (-99.84%)
skippaSciKIt-learn Pipeline in PAndas
Stars: ✭ 33 (-99.9%)
Dense BiLSTMTensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification
Stars: ✭ 48 (-99.85%)
SpagoSelf-contained Machine Learning and Natural Language Processing library in Go
Stars: ✭ 854 (-97.36%)
totally humansrnn trained on r/totallynotrobots 🤖
Stars: ✭ 23 (-99.93%)
Breast Cancer PredictionPredicting the probability that a diagnosed breast cancer case is malignant or benign based on Wisconsin dataset
Stars: ✭ 19 (-99.94%)
Sequence-Models-courseraSequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.
Stars: ✭ 53 (-99.84%)
rnn2dCPU and GPU implementations of some 2D RNN layers
Stars: ✭ 26 (-99.92%)
Kaio-machine-learning-human-face-detectionMachine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions
Stars: ✭ 18 (-99.94%)
hcnHybrid Code Networks https://arxiv.org/abs/1702.03274
Stars: ✭ 81 (-99.75%)
Pytorch-POS-TaggerPart-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN
Stars: ✭ 24 (-99.93%)
voice-conversionan tutorial implement of voice conversion using pytorch
Stars: ✭ 26 (-99.92%)
sgrnnTensorflow implementation of Synthetic Gradient for RNN (LSTM)
Stars: ✭ 40 (-99.88%)
Lstm Human Activity RecognitionHuman Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Stars: ✭ 2,943 (-90.89%)
RnnsharpRNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
Stars: ✭ 277 (-99.14%)
Fuku MlSimple machine learning library / 簡單易用的機器學習套件
Stars: ✭ 280 (-99.13%)
tiny-rnnLightweight C++11 library for building deep recurrent neural networks
Stars: ✭ 41 (-99.87%)
Unet ZooA collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation
Stars: ✭ 302 (-99.07%)
Sklearn EvaluationMachine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
Stars: ✭ 294 (-99.09%)
Tensorflow poems中文古诗自动作诗机器人,屌炸天,基于tensorflow1.10 api,正在积极维护升级中,快star,保持更新!
Stars: ✭ 3,429 (-89.39%)
Profanity CheckA fast, robust Python library to check for offensive language in strings.
Stars: ✭ 354 (-98.9%)
RmdlRMDL: Random Multimodel Deep Learning for Classification
Stars: ✭ 375 (-98.84%)
Actionaicustom human activity recognition modules by pose estimation and cascaded inference using sklearn API
Stars: ✭ 404 (-98.75%)
Tensorflow TutorialTensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Stars: ✭ 4,122 (-87.24%)
Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
Stars: ✭ 543 (-98.32%)
Ner Lstm CrfAn easy-to-use named entity recognition (NER) toolkit, implemented the Bi-LSTM+CRF model in tensorflow.
Stars: ✭ 337 (-98.96%)
H2o4gpuH2Oai GPU Edition
Stars: ✭ 416 (-98.71%)