769 Open source projects that are alternatives of or similar to Keras Kaldi

Caffe2 is a lightweight, modular, and scalable deep learning framework.

DLTK Model Zoo

This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of acoustic impulse responses.

A general, modular, and programmable architecture search framework

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

ANRL: Attributed Network Representation Learning via Deep Neural Networks(IJCAI-2018)

💬 Speech to text, using the awesome engines readily available on the device.

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

Kalliope is a framework that will help you to create your own personal assistant.

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An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.

Program to benchmark various speech recognition APIs

Trains a model, then generates a complete Xcode project that uses it - no code necessary

Gluon to PyTorch deep neural network model converter

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

A pytorch based end2end speech recognition system.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

An ONNX (Open Neural Network eXchange) API and Backend for Typeful, Functional Deep Learning in Scala

The code for the MaD TwinNet. Demo page:

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

Credit card fraud detection through logistic regression, k-means, and deep learning.

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Perform deep neural network based face detection and recognition in the cloud (via AWS lambda) with zero model configuration or tuning.

Simple speech linguistic AI with Python

A paper list of object detection using deep learning.

Iterative Residual Network for Deep Joint Image Demosaicking and Denoising

PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi

ConvNets for Audio Recognition using Google Commands Dataset

Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

PyTorch tutorial for learners

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

A Chinese Deep Speech Recognition System 包括基于深度学习的声学模型和基于深度学习的语言模型

tuyển chọn các tài liệu về công nghệ bằng tiếng Việt

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

the open-source virtual assistant for Ubuntu based Linux distributions

TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.

Application of machine learning to the Coinbase (GDAX) orderbook

人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题

A collection of Audio and Speech pre-trained models.

Video to Text: Generates description in natural language for given video (Video Captioning)

Create automatic playlists by using Deep Learning to *listen* to the music

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

A collection of Natural language processing pre-trained models.

3D Unet Equipped with Advanced Deep Learning Methods

A collection of resources that should help and guide your first steps as you learn ML and DL. I am a beginner as well, and these are the resources I found most useful.

Inaudible Voice Commands

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

Machine Learning Resources, Practice and Research

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

Deep neural network based model for sequence to sequence classification

Speech to text (PocketSphinx, Iflytex API, Baidu API) and text to speech (pyttsx3) | 语音转文字（PocketSphinx、百度 API、科大讯飞 API）和文字转语音（pyttsx3）

Implementation of the Sliced Wasserstein Autoencoders

HoloBot is a reusable 3D interface that allows HoloLens & VR users to interact with any bot using Mixed Reality & Speech.

Deep Neural Network Sandbox for JavaScript.