629 Open source projects that are alternatives of or similar to Sequence To Sequence 101

List of Elixir books

Curated chronological list of learning resources for Angular, from complete beginner to advanced level

A Development Center for the ZeroNet. Tutorials on ZeroNet Zite Development, Collaboration, and Questions

Code, exercises and tutorials of my personal blog ! 📝

Sequence to sequence learning with MXNET

📚 A curated list of awesome resources : articles, books, videos, tools, podcasts about technical writing

Automatic Feature Generation for Website Fingerprinting

Go 语言 Web 应用开发系列教程，从新手到双手残废

Learn OpenCL step by step.

🌈 原创&翻译 🌈

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

Reverse Engineering Tutorials

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

Presentation, pro tips, and tools for dashboarding like a boss: https://maloriejhughes.github.io/Dashboarding-Tutorial/

RxJava 2 Android Examples - Migration From RxJava 1 to RxJava 2 - How to use RxJava 2 in Android

an open-source implementation of sequence-to-sequence based speech processing engine

Various Basic Data Structures and Algorithms Implement in Javascript

Tensorflow seq2seq Implementation of Text Summarization.

The Continuous Bag-of-Words model (CBOW) is frequently used in NLP deep learning. It's a model that tries to predict words given the context of a few words before and a few words after the target word.

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

Simple tutorials for building neural networks with TensorFlow Eager mode.

Source code examples for "API without Secrets: Introduction to Vulkan" tutorial

Open-Source Neural Machine Translation in Tensorflow

Minimalist NMT for educational purposes

A WhatsApp clone with React Native and Apollo (Tutorial)

Recursos de Haskell

A large repository of code and documented examples for Go's standard package library.

Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).

a series tutorial for linux exploit development to newbie.

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

PyTorch Tutorial for Deep Learning Researchers

那些年，我爬过的北科。一个由浅入深的定向爬虫教程。

Central repository for tools, tutorials, resources, and documentation for robotics simulation in Unity.

Neural conversational model in Torch

🐬 A comprehensive tutorial on getting started with Docker!

[unmaintained]

Implementing Siamese networks with a contrastive loss for similarity learning

The hands-on NLTK tutorial for NLP in Python

Some simple vulkan examples.

Quick tutorials on quick things that make each devops day better

2021南京大学计算机科学与技术845考研公共课和专业课资料：数学一、英语一、政治、数据结构、计算机网络、计算机系统基础、操作系统教程、算法设计与分析-包括真题、期末考试、PPT、模拟题、专业课参考书及课后答案、报录比、经验等等

No description or website provided.

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

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

An open-source tool for sequence learning in NLP built on TensorFlow.

Python Bootcamp tutorials, with HTML versions included

Practice your Python programming skills with this interactive and auto-graded set of exercises.

Public materials for Statnet Workshops

Course demos and handouts for Talk Python's Mastering PyCharm course

Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

A curated list of project tutorials for project-based learning.

Sequence-to-Sequence Framework in PyTorch

An example project to demonstrate how to build WhatsApp using Jetpack Compose.

In-depth tutorials for implementing deep learning models on your own with PyTorch.

Extensive Open-Source Guides for Android Developers

A Docker tutorial written for people who don't actually know Docker already.