452 Open source projects that are alternatives of or similar to MIDI-VAE

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

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

PyTorch implementation of "Auto-Encoding Variational Bayes"

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

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

Experiments for understanding disentanglement in VAE latent representations

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

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

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

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

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

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

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

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

Tensorflow implementation of conditional variational auto-encoder for MNIST

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

Implementation of a convolutional Variational-Autoencoder model in pytorch.

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

Collection of generative models in Tensorflow

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

Protein function prediction using a variational autoencoder

Tensorflow implementation of variational auto-encoder for MNIST

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

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

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

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

Assessing Generative Models via Precision and Recall (official repository)

Invariant representation learning from imaging and spectral data

Pytorch implementation of Hyperspherical Variational Auto-Encoders

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.

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

Stochastic Adversarial Video Prediction

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

Go modular http middleware to measure HTTP requests independent of metrics backend (with Prometheus and OpenCensus as backend implementations) and http framework/library

Java distributed tracing implementation compatible with Zipkin backend services.

The fuzzer afl++ is afl with community patches, qemu 5.1 upgrade, collision-free coverage, enhanced laf-intel & redqueen, AFLfast++ power schedules, MOpt mutators, unicorn_mode, and a lot more!

Prometheus instrumentation library for JVM applications

🌲 Great Elixir logging made easy

A stats collection and distributed tracing framework

Out of the box distributed tracing for Node.js applications with OpenTracing.

Distributed tracing for spring cloud

Domain-Specific Fuzzing with Waypoints

HawkTracer is a highly portable, low-overhead, configurable profiling tool built in Amazon Video for getting performance metrics from low-end devices.

A kotlin library to simplify how to do espresso tests on Android.

A stats collection and distributed tracing framework

Symbiotic is a tool for finding bugs in computer programs based on instrumentation, program slicing and KLEE

Caliper is an instrumentation and performance profiling library

Periodically gather measurements and publish them as Telemetry events

ARTist's core implementation meant to be included in the art project. Provides ARTist APIs and boilerplate code for modules.

Automatic instrumentation for 3rd-party libraries in Java applications with OpenTracing.

Fast and reliable InfluxDB writer for Elixir

Lock-free framework for loggers, tracers, and mockers in multithreaded C++ programs.

A low-overhead dynamic binary instrumentation and modification tool for ARM (now with both AArch32 and AArch64 support)

App Metrics is an open-source and cross-platform .NET library used to record and report metrics within an application.

Tool for automatic detection and asserting "N+1 SELECT problem" occurences in JPA based Spring Boot Java applications and finding origin of JPA issued SQL statements in general

Documentation:

Vector clock logging library for Go

Blazingly fast Linux syscall collector