79 Open source projects that are alternatives of or similar to birdsong-generation-project

PSO algorithm written in TensorFlow

PyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]

An AI based application to identify currency and gives audio feedback.

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

Machine learning, in numpy

[repo not maintained] Check out https://diffgram.com if you want to build a visual intelligence

基于tensorflow搭建的神经网络recursive autuencode，用于实现句子聚类

Hiding Images within other images using Deep Learning

DeepMind's Tacotron-2 Tensorflow implementation

How to use TensorLayer

A Virtual Assistant for Windows PC with wicked Qt Graphics.

Wavenet and its applications with Tensorflow

A tool for quickly training image classifiers in the browser

Optical character recognition Using Deep Learning

A UI tool for quickly training image classifiers in the browser

基于Tensorflow2开发的优秀扩展包及项目

Gin provides a lightweight configuration framework for Python

Remove Background from the picture using WebAssembly & TensorFlow.js

Basic wavenet and fftnet vocoder model.

A neural network for end-to-end music source separation

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

Speedy Wavenet generation using dynamic programming ⚡

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

Speech Enhancement using Bayesian WaveNet

Tensor Flow implementation for Android

This project applies multiple deep learning models to the problem of restoring diacritical marks to sentences in Vietnamese.

WaveNet implementation with chainer

Automated Driving in NFS using CNN.

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

[repo not maintained] Check out https://diffgram.com if you want to build a visual intelligence

This is where I put all my work in Natural Language Processing

An example for TensorflowSharp - classify an image as a dog or cat.

Chrome browser extension for using TensorFlow image recognition on web pages

Neuroevolution demo through TensorFlow.js, Neataptic, and Box2D

Knowledge Base Question Answering using memory networks

Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf

Control 3D Virtual Character through Tensroflow.js Posenet

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The dataset is used to train my own raccoon detector and I blogged about it on Medium

Age + Gender Estimation on Android with TensorFlow Lite

🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

learn code with tensorflow

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

WaveNet vocoder

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

GANs for time series generation in pytorch

a neural network toolbox for animal vocalizations and bioacoustics

parallel wavenet based on nsynth

Sorting my messed folder where I put my holidays pictures was not fun. My computer made the trick for me with Deep Learning!

A Chainer implementation of VQ-VAE.

Code for "A-NICE-MC: Adversarial Training for MCMC"

Audio Classification using Image Classification

Balanced Multiclass Image Classification with TensorFlow on Python.

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

Adversarial Training for Neural Relation Extraction

Fine grained visual recognition tensorflow baseline on CUB, Stanford Cars, Dogs, Aircrafts, and Flower102.