629 Open source projects that are alternatives of or similar to DeepLearning-Lab

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

Extremely simple and fast word2vec implementation with Negative Sampling + Sub-sampling

reimplementing Neural Summarization by Extracting Sentences and Words

Extract Keywords from sentence or Replace keywords in sentences.

Nested LSTM Cell

Bu Uyghur yéziqini Pythonning gensim ambiridiki word2vec algorizimida sinap baqqan misal.

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

基于情感字典和机器学习的股市舆情情感分类可视化Web

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

Char RNN Language Model based on Tensorflow

Making sense embedding out of word embeddings using graph-based word sense induction

A speech denoise lv2 plugin based on RNNoise library

Translating English to Yoda English using Sequence-to-Sequence with Tensorflow.

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

Deep learning for Arabic text Vocalization - التشكيل الالي للنصوص العربية

Hands-on in-person workshop for Deep Learning with TensorFlow

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

A practical example on how to combine both a CNN and a RNN to classify images.

TensorFlow implemenation of GRu4Rec model

About Text Pairs (Sentence Level) Classification (Similarity Modeling) Based on Neural Network.

코딩셰프의 3분 딥러닝, 케라스맛

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版

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

cRNN-GAN to generate music by training on instrumental music (midi)

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.

Remove problematic gender bias from word embeddings.

A visualization tool for understanding and debugging RNNs

Visualize large text collections with WebGL

中文詞向量訓練教學

Pre-trained word vectors of 30+ languages

A Bitcoin trade robot based on Tensorflow LSTM model.Just for fun.

In these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.

Fast and simple music and audio analysis using RNN in Python 🕵️‍♀️ 🥁

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

fairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer

Word2Vec iOS port

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

Topic Modelling for Humans

Variational Auto-Encoders in a Sequential Setting.

Source code for the ICLR 2021 work "Generating Adversarial Computer Programs using Optimized Obfuscations"

Query-Reduction Networks (QRN)

Web-ify your word2vec: framework to serve distributional semantic models online

code for "Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering" ACL 2017

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

Fast word vectors with little memory usage in Python

Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs

一个基于深度学习的中文聊天机器人，这里有详细的教程与代码，每份代码都有详细的注释，作为学习是美好的选择。A Chinese chatbot based on deep learning.

IAM dataset

Generalised and highly customisable, hybrid-parallelism, database based, deep learning framework.

Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning

Scripts demo-ing how to train a Word2Vec model and reduce its vector space

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

Using word vectors to classify spam messages

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

Online Hand Writing Recognition using BLSTM