All Algorithms implemented in Python

💫 Industrial-strength Natural Language Processing (NLP) in Python

The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

An open-source NLP research library, built on PyTorch.

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translatio…

End-to-End Speech Processing Toolkit

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

An open source library for deep learning end-to-end dialog systems and chatbots.

95.47% on CIFAR10 with PyTorch

VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.

Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow

Text preprocessing, representation and visualization from zero to hero.

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding a…

The PyTorch-based audio source separation toolkit for researchers

Longformer: The Long-Document Transformer

A comprehensive reference for all topics related to Natural Language Processing

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

📝 python package to calculate readability statistics of a text object - paragraphs, sentences, articles.

This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.

A Python wrapper for Kaldi

Open STT

💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy

Python best practices project cookiecutter 🍪

Python module installed with setup.py

A Keras CTC implementation of Baidu's DeepSpeech for model experimentation

A testing server for a speech to text service based on coqui.ai

Interface for easier topic modelling.

Calculate readability scores

🔮Deep Learning for text made easy with AllenNLP