272 Open source projects that are alternatives of or similar to Plasma Python

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

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

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

此项目致力于构建一套最基础，最精简，可维护的react-native项目，支持ios，android 🌹

基于双向RNN，Attention机制的编解码神经机器翻译模型

RMDL: Random Multimodel Deep Learning for Classification

Chatbot in 200 lines of code using TensorLayer

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

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！

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

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

The Official Deep Learning Framework for Route-based Place Recognition

Automatically generate headlines to short articles

Sentiment Analysis with LSTMs in Tensorflow

sliced-rnn

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

🌊 Numerically solving and backpropagating through the wave equation

京东JData算法大赛-高潜用户购买意向预测

Multiple implementations for abstractive text summurization , using google colab

CNN-RNN中文文本分类，基于TensorFlow

RNN based Time-series Anomaly detector model implemented in Pytorch.

Sequence to Sequence Models with PyTorch

A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

WTTE-RNN a framework for churn and time to event prediction

Real-time ADLs and Fall Detection implement TensorFlow

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

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.

A top-down, practical guide to learn AI, Deep learning and Machine Learning.

language model in Chinese，基于Pytorch官方文档实现

深度学习入门教程, 优秀文章, Deep Learning Tutorial

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

TensorFlow implementation of Independently Recurrent Neural Networks

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

Deepfakes Video classification via CNN, LSTM, C3D and triplets

Char-RNN implemented using TensorFlow.

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

Data augmentation for NLP, presented at EMNLP 2019

Implementing Recurrent Neural Network from Scratch

Deep Learning neural network for correcting spelling

Keras tutorial for beginners (using TF backend)

An implementation of RNN-RBM & GBRBM.

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

TensorFlow Tutorial for Time Series Prediction

Deep Recurrent Neural Networks for Source Separation

Tensorflow implementation of attention mechanism for text classification tasks.

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

Boilerplate code for quickly getting set up to run language modeling experiments

Code for Tensorflow Machine Learning Cookbook

A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).

论文“Attention-over-Attention Neural Networks for Reading Comprehension”中AoA模型实现

Sequence to sequence learning with MXNET

All about Neural Networks!

Stock Price Prediction using Machine Learning Techniques