629 Open source projects that are alternatives of or similar to char-VAE

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

RNN based Forecasting App for Meta Trader and similar trading platforms

Deep learning codes and projects using Python

There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

A cute multi-layer LSTM that can perform like a human 🎶

Enhanced BiLSTM Inference Model for Natural Language Inference

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Neural Relation Understanding: neural cardinality estimators for tabular data

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

Question-Answering NLP model with character-level RNN (TensorFlow).

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

EfficientMORL (ICML'21)

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.

Repository for implementation of generative models with Tensorflow 1.x

A visualization tool for understanding and debugging RNNs

Training charRNN model for ml5js

Chinese Poetry Generation

PyTorch Implementation of DCGAN trained on the CelebA dataset.

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

A collection of deep learning models (PyTorch implemtation)

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

A package to structure Australian addresses

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

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

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Recurrent neural network for audio noise reduction

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

A 1D toy example of optimizing a generative model using the WGAN-GP model.

基于RNN生成古诗

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"

TensorFlow Implementation of TCN (Temporal Convolutional Networks)

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。

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

Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data

IAM dataset

Adversarially Learned Inference in Pytorch

使用PyTorch实现Char RNN生成古诗和周杰伦的歌词

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.

A VAE written entirely in Numpy/Cupy

CSGNet for voxel based input

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

This is a project of build knowledge graph course. The project leverages historical stock price, and integrates social media listening from customers to predict market Trend On Dow Jones Industrial Average (DJIA).

pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

Datasets, tools, and benchmarks for representation learning of code.

Project 4 for Metis bootcamp. Objective was generation of character-level RNN trained on Donald Trump's statements using Keras. Also generated Markov chains, and quick pyTorch RNN as baseline. Attempted semi-supervised GAN, but was unable to test in time.

End-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别

Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution Prediction" (NeurIPS-21)

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

medium blog supplementaries | Backprop | Resnet & ResNext | RNN |

Face and iris detection for Python based on MediaPipe

Training a MNIST classifier, and use it to compute inception score (ICP)

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

Generating image captions using Xception Network and Beam Search in Keras

ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.

Binary Image Classification in TensorFlow

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings