jcarlosneto Goto Github PK

speech-to-text

mixlingual speech recognition system; hybrid (GMM+NNet) model; Kaldi + Keras

spell-checking-cython_hunspell

Cython wrapper on Hunspell Dictionary

sqlova

stanza_nlp-library

Official Stanford NLP Python Library for Many Human Languages

streamlit-pandas-profiling

Pandas profiling component for Streamlit.

stt

🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.

survey

A Survey on Neural Speech Synthesis https://arxiv.org/pdf/2106.15561.pdf

syntaxdot

Neural syntax annotator, supporting sequence labeling, lemmatization, and dependency parsing.

talkgpt4all

A voice chatbot based on GPT4All and talkGPT, running on your local pc!

tap-2022-multilingual-ner

tc-bot

User Simulation for Task-Completion Dialogues

text-generation-gan

Generative Advesarial Networks in Text Generation

text-generation-webui-colab

A colab gradio web UI for running Large Language Models

textflint

Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing

textgan-pytorch

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

textgenrnn

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

textplot

(Mental) maps of texts with kernel density estimation and force-directed networks.

the-gan-zoo

A list of all named GANs!

tisk1.0

tldraw-makereal

the very good free whiteboard tldraw in the jupyter output

tldraw_canvas

a very good whiteboard

toolkit-for-knowledge-graph-extraction---openue

OpenUE是一个轻量级知识图谱抽取工具 (An Open Toolkit for Universal Extraction from Text published at EMNLP2020: https://aclanthology.org/2020.emnlp-demos.1.pdf)

tree-of-thought-llm

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

treegen

A Tree-Based Transformer Architecture for Code Generation. (AAAI'20)

tts

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

txtai

💡 Build AI-powered semantic search applications

udacity-deep-learning-nanodegree

The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.

using_pyseal

Homomorphic encryption and logistic regression. This repo demonstrates and eases the usage of (Py)SEAL (https://github.com/Lab41/PySEAL).

vad-sli-asr

A pipeline to isolate and transcribe one language in mixed-language speech

visqol

Perceptual Quality Estimator for speech and audio