1715 Open source projects that are alternatives of or similar to Gru Svm

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

Deep Learning using Rectified Linear Units (ReLU)

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Top 200 deep learning Github repositories sorted by the number of stars.

PHP-ML - Machine Learning library for PHP

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

RMDL: Random Multimodel Deep Learning for Classification

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Code for Tensorflow Machine Learning Cookbook

Code for Java Deep Learning Cookbook

pytorch-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.

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

This is an open sourced book on deep learning.

Deep learning codes and projects using Python

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

Learning to Cluster. A deep clustering strategy.

CNN-RNN中文文本分类，基于TensorFlow

PyTorch - Python + Nim

Keras tutorial for beginners (using TF backend)

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Handwritten digits, a bit like the MNIST dataset.

Implementation of State-of-the-art Text Classification Models in Pytorch

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

The simplest form of an artificial neural network explained and demonstrated.

Curated Tensorflow code resources to help you get started with Deep Learning.

Multiple implementations for abstractive text summurization , using google colab

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

Simple machine learning library / 簡單易用的機器學習套件

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

🤖 A portable, header-only, artificial neural network library written in C99

Deep Reinforcement Learning based Trading Agent for Bitcoin

Re-implementation of TensorFlow in pure python, with an emphasis on code understandability

deeplearning.ai , By Andrew Ng, All video link

Curso de Introducción a Machine Learning con Python

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

RNNSharp 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.

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Char-RNN implemented using TensorFlow.

Stock Price Prediction using Machine Learning Techniques

Data augmentation for NLP, presented at EMNLP 2019

🏭 JavaScript Machine Learning Toolkit

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

A deep learning based gaze estimation framework implemented with PyTorch

Unsupervised ML algorithm for predictive modeling and time-series analysis

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

An Interactive Approach to Understanding Deep Learning with Keras

Courses, Articles and many more which can help beginners or professionals.

Machine learning based text classification in JavaScript using n-grams and cosine similarity

Yet another neural network library

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Machine Reading Comprehension in Tensorflow

Use unsupervised and supervised learning to predict stocks

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks

The Official Deep Learning Framework for Route-based Place Recognition