Topic: lstm Goto Github
Some thing interesting about lstm
Some thing interesting about lstm
lstm,Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
User: abdulfatir
lstm,Sentiment Analysis with LSTMs in Tensorflow
User: adeshpande3
lstm,Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Organization: aistream-peelout
Home Page: https://flow-forecast.atlassian.net/wiki/spaces/FF/overview
lstm,List of papers, code and experiments using deep learning for time series forecasting
User: alro10
lstm,AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Organization: apachecn
Home Page: http://ailearning.apachecn.org/
lstm,Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
User: bentrevett
lstm,Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
User: bentrevett
lstm,RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
User: blinkdl
lstm,Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
User: curiousily
Home Page: https://www.mlexpert.io/bootcamp
lstm,Machine learning, in numpy
User: ddbourgin
Home Page: https://numpy-ml.readthedocs.io/
lstm,This repo contains implementation of different architectures for emotion recognition in conversations.
Organization: declare-lab
lstm,A neural network that transforms a design mock-up into a static website.
User: emilwallner
lstm,Delightful npm packages that make you say "wow, didn't know that was possible!"
User: feross
lstm,Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
User: guillaume-chevalier
lstm,Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
User: guillaume-chevalier
lstm,Visualization Toolbox for Long Short Term Memory networks (LSTMs)
User: hendrikstrobelt
lstm,Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
User: hhtseng
lstm,Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
User: hunkim
lstm,Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
User: huseinzol05
lstm,Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Organization: jaidedai
Home Page: https://www.jaided.ai
lstm,NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
User: jiesutd
lstm,Deep learning driven jazz generation using Keras & Theano!
User: jisungk
Home Page: http://deepjazz.io
lstm,Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.
User: jtkim-kaist
lstm,Predict Cryptocurrency Price with Deep Learning
User: khuangaf
Home Page: https://blog.goodaudience.com/predicting-cryptocurrency-price-with-tensorflow-and-keras-e1674b0dc58a
lstm,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.
User: khundman
Home Page: https://arxiv.org/abs/1802.04431
lstm,Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
User: lilianweng
Home Page: https://lilianweng.github.io/lil-log
lstm,:art: 数学公式识别增强版:中英文手写印刷公式、支持初级符号推导(数据结构基于 LaTeX 抽象语法树)Math Formula OCR Pro, supports handwrite, Chinese-mixed formulas and simple symbol reasoning (based on LaTeX AST).
User: linxueyuanstdio
lstm,中文古诗自动作诗机器人,x炸天,基于tensorflow1.10 api,正在积极维护升级中,快star,保持更新!
User: lucasjinreal
lstm,Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
Organization: mesolitica
lstm,Friendly machine learning for the web! 🤖
Organization: ml5js
Home Page: https://ml5js.org
lstm,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.
User: mravanelli
lstm,Self-contained Machine Learning and Natural Language Processing library in Go
Organization: nlpodyssey
lstm,Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别
User: renovamen
lstm,An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
User: rguthrie3
lstm,LSTM and QRNN Language Model Toolkit for PyTorch
Organization: salesforce
lstm,Stock Price Prediction using Machine Learning Techniques
User: scorpionhiccup
Home Page: http://scorpionhiccup.github.io/StockPricePrediction
lstm,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.
User: shubhomoydas
lstm,A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
User: superbrucejia
Home Page: https://www.nitrc.org/projects/eeg_dl_library
lstm,Chatbot in 200 lines of code using TensorLayer
Organization: tensorlayer
Home Page: https://github.com/tensorlayer/tensorlayer
lstm,Tesseract Open Source OCR Engine (main repository)
Organization: tesseract-ocr
Home Page: https://tesseract-ocr.github.io/
lstm,TensorFlow template application for deep learning
User: tobegit3hub
lstm,Use unsupervised and supervised learning to predict stocks
User: vivekpa
lstm,A simple neural network for python autocompletion
User: vpj
lstm,The deeplearning algorithms implemented by tensorflow
User: xiaohu2015
lstm,Some interesting TensorFlow tutorials for beginners.
User: yongyehuang
lstm,End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
User: zzw922cn
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.