1403 Open source projects that are alternatives of or similar to Mojitalk

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

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

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution

SeqGAN tensorflow implementation

Tensorflow implementation of variational auto-encoder for MNIST

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Stochastic Adversarial Video Prediction

Collection of generative models in Tensorflow

An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch

IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

No description or website provided.

Machine learning, in numpy

Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).

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.

Pytorch implementation of Hyperspherical Variational Auto-Encoders

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

PyTorch implementation of "Auto-Encoding Variational Bayes"

Invariant representation learning from imaging and spectral data

Text Variational Autoencoder inspired by the paper 'Generating Sentences from a Continuous Space' Bowman et al. https://arxiv.org/abs/1511.06349

music generation with a classifying variational autoencoder (VAE) and LSTM

A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).

Implementation of a convolutional Variational-Autoencoder model in pytorch.

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction

Advanced Deep Learning with Keras, published by Packt

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

Tensorflow implementation of conditional variational auto-encoder for MNIST

A tensorflow implementation of "Generating Sentences from a Continuous Space"

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

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

Assessing Generative Models via Precision and Recall (official repository)

Experiments for understanding disentanglement in VAE latent representations

Protein function prediction using a variational autoencoder

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets

Connecting Torch to StarCraft

📱Android Library to implement beautiful dialogs in android apps easily

Initiative to read research papers

🤖 Implements of Reinforcement Learning algorithms.

강화학습에 대한 기본적인 알고리즘 구현

Comparison of Generative Models in Tensorflow

Learning human driver models from NGSIM data with imitation learning.

A framework using TensorFlow.js for Deep Reinforcement Learning

Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors

A collection of easy to use and extendable DialogFragment's for Android

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

Reinforcement Learning Cheat Sheet

Custom AlertView Dialogue is the world's most advanced alert view library. Custom AlertView Dialogue includes simple message popups, confirmation alerts, selector popups, action sheet bottom menus, and input/feedback contact forms.

Reinforcement Learning and Transfer Learning based StarCraft Micromanagement

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

android 4.4以上沉浸式状态栏和沉浸式导航栏管理，适配横竖屏切换、刘海屏、软键盘弹出等问题，可以修改状态栏字体颜色和导航栏图标颜色，以及不可修改字体颜色手机的适配，适用于Activity、Fragment、DialogFragment、Dialog，PopupWindow，一句代码轻松实现，以及对bar的其他设置，详见README。简书请参考：http://www.jianshu.com/p/2a884e211a62

Android 弹窗案例总结(仿淘宝弹窗 咸鱼菜单 筛选列表)