dpny518 Goto Github PK

anchorhodl

Anchor Protocol Script that can save you from being liquidated!

avp

This is the ARIA-VALUSPA Platform, or AVP for short. Use this platform to build your own Virtual Humans with audio-visual input and output, language models for English, French, and German, emotional understanding, and many more. This work was funded by European Union Horizon 2020 research and innovation programme, grant agreement No 645378.

awesome-akash

Awesome List of Akash Deployment Examples

blazorwasmcloudflarepages

Testing

bluna_luna_swap

chatbot

基於向量匹配的情境式聊天機器人

chinese-english-translation-offline

Basic word translator that uses cedict

clock-drawing-dnn

A Machine Learning Project for predicting Parkinsonism using Clock Drawing

clock_drawing

cloud-asr

Cloud-based Automatic Speech Recognition (ASR) platform and a public ASR webservice.

cnn-ld-tf

Convolutional Neural Network for Language Detection in Tensorflow

cognitionad

Flutter Application Development for Cognitive Skill Assessment in early diagnosis of Alzheimer's Disease

cognitive-web

Official Website for The Cognitive Test

csharp-web-demo

Demo web app built on c#

cvte_chain_model_finetune

finetune the chain model based on cvte open source model without traing any GMM for frame alignment

deepnlp

Deep Learning NLP Pipeline implemented on Tensorflow

deepspeech-java-bindings

Java Bindings for the C++ library DeepSpeech

docs

Terra Documentation

ez-phones

Wrapper to pocketsphinx phoneme labeling tools

fasttext_multilingual

Multilingual word vectors in 78 languages

flask-tacotron2-tts-web-app

flask+tornado based NVIDIA tacotron2+waveglow tts web app

graphquestions

A characteristic-rich dataset for factoid question answering described in the paper "On Generating Characteristic-rich Question Sets for QA Evaluation" - EMNLP'16

grok-1

Grok open release

human-activity-recognition

Human activity recognition is very important tool in health monitoring of patients suffering from various chronic diseases and for professional and recreational sportsman. In this repository will be presented two AI models that classify data given from Smartwatch Accelerometer of observed persons. Classification is consists of ten chosen daily living activities from WISDM database. AI models that are used are Deep Neural Network and Random Forest Classifier. Results of both models are presented and it shows that they have similar results on authentication persons that were in the training data group and recognition of activities of persons that are used only in test group of the dataset.

jann

Hi. I am jann. I am text input - text output chatbot model that is JUST approximate nearest neighbour.

kaldi

This is now the official location of the Kaldi project.

kaldi-asr

I want to do the experiment manually, run the examples in the /kaldi/egs directory, and record the documents

kaldi-dnn-ali-gop

Forced alignment and Goodness of Pronunciation (GOP) with DNN support. Bases on Kaldi.

kaldi-gop

Computes the Goodness of Pronunciation (GOP). Bases on Kaldi.

kaldi-iot

Build Your Own IOT Speech Recognizer