594 Open source projects that are alternatives of or similar to Skip Thought Tf

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

Sentiment Analysis: Deep Bi-LSTM+attention model

Multiple implementations for abstractive text summurization , using google colab

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

An implement of google deep dream with tensorflow

🤘 awesome-semantic-segmentation

Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem

The benchmark of ncnn that is a high-performance neural network inference framework optimized for the mobile platform

把极速检测器的门槛给我打下来make lightweight caffe-ssd great again

Visualize word embeddings of a vocabulary in TensorBoard, including the neighbors

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Tutorials and my solutions to the Udacity NLP Nanodegree

建立你的算法地图：如何高效学习算法；算法工程师：从小白到专家

Implementation of GQN in PyTorch

Data-centric declarative deep learning framework

100+ Chinese Word Vectors 上百种预训练中文词向量

Deep Learning over PyTorch

keras를 이용한 딥러닝 기초 학습

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

The guide to tackle with the Text Summarization

All DeepLearning4j projects go here.

Dataset for CIKM 2018 paper "Multi-Source Pointer Network for Product Title Summarization"

Algorithms Tutorial

Active Convolution

Paper Reading

Multi-class confusion matrix library in Python

tutorials made for biologists to learn deep learning

Python tutorials as Jupyter Notebooks for NLP, ML, AI

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

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.

基于Andrew Ng DeepLearning.ai课程的学习笔记

GPU Javascript Library for Machine Learning

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

💨Making communication📞easier and faster🚅for all 👦 + 👧 + 👴 + 👶 + 🐮 + 🐦 + 🐱

Repository for the word embeddings experiments described in "Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource", presented at LREC 2016.

Real-time Detectron using webcam.

On Generating Extended Summaries of Long Documents

TextRank implementation for Python 3.

数据挖掘开源书

[AAAI2020] Cross-Modality Paired-Images Generation for RGB-InfraredPerson Re-Identification

learn code with tensorflow

Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

DeeplabV2 segmentation in Keras.

Context-sensitive word embeddings with subwords. In Rust.

The implementation of Relativistic average GAN with Keras

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

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

finalfusion embeddings in Rust

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

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

TensorFlow TransFormer🍔

Code for polyaxon tutorials and examples

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/