6157 Open source projects that are alternatives of or similar to Seq2seq Signal Prediction

Tutorials for TensorFlow APIs the official documentation doesn't cover

Material for the tutorial: "Deep Diving into GANs: from theory to production"

Fish detection using Open Images Dataset and Tensorflow Object Detection

A neural network that transforms a design mock-up into a static website.

Some interesting TensorFlow tutorials for beginners.

TensorFlow Tutorial for Time Series Prediction

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Notebook for my medium article about how to use Dataset API in TensorFlow

Multiple implementations for abstractive text summurization , using google colab

Примеры для курса "Программирование глубоких нейронных сетей на Python"

🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly

TensorFlow 最佳学习资源大全（含课程、书籍、博客、公开课等内容）

DeepLearning.AI TensorFlow Developer Professional Certificate Specialization

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

1st place solution

YoloV3 Implemented in Tensorflow 2.0

Códigos e materiais sobre TensorFlow em Português

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

TensorFlow documentation

《机器学习宝典》包含：谷歌机器学习速成课程（招式）+机器学习术语表（口诀）+机器学习规则（心得）+机器学习中的常识性问题 （内功）。该资源适用于机器学习、深度学习研究人员和爱好者参考！

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

tensorflow学习笔记，来源于电子书：《Tensorflow实战Google深度学习框架》

Predict chessboard FEN layouts from images using TensorFlow

Deep Neural Network Trading collection of Tensorflow Jupyter notebooks

MNIST classification in Tensorflow using Django

Duke-Tsinghua Machine Learning Summer School 2017

Tensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

Accompanying notebook for the Entailment with Tensorflow article.

A Tutorial for Serving Tensorflow Models using Kubernetes

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Chinese Poetry Generation

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

TensorFlow Tutorials

Translations of TensorFlow documentation

Explains nlp building blocks in a simple manner.

Natural Language Processing with TensorFlow, published by Packt

Sequence-to-Sequence Framework in PyTorch

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

An Analysis of the Distribution Law of Word Frequency and Stroke Number in Chinese

GSOC 2017 - Apache Organization - # Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)

A base solution that helps to generate insights from their data. The solution provides a framework for an end-to-end machine learning process including ad-hoc data exploration, data processing and feature engineering, and modeling training and evaluation. This baseline will provide the foundation for industry specific data to be applied and models created to release industry specific ML solutions.

Here, we will upload our deep/machine learning models and 'workflows' (such as AtomNet, DefectNet, SymmetryNet, etc) that aid in automated analysis of atomically resolved images

Workshop introducing to Pandas

RETIRED - instead use https://github.com/robmarkcole/HASS-Deepstack-object

CoCalc: Collaborative Calculation in the Cloud

Classification Problem to detect credit card fraud