ShiLiang Zhang's repositories

kaldi

This is now the official location of the Kaldi project.

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awesome-speech-recognition-speech-synthesis-papers

Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling

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Automatic_Speech_Recognition

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

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DeepSpeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

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the-art-of-command-line

Master the command line, in one page

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asteroid

The PyTorch-based audio source separation toolkit for researchers

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audiolm-pytorch

Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch

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Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

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Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

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bert

TensorFlow code and pre-trained models for BERT

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espnet

End-to-End Speech Processing Toolkit

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models

Models and examples built with TensorFlow

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bark

🔊 Text-prompted Generative Audio Model

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ChatGLM-6B

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

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FastChat

An open platform for training, serving, and evaluating large languages. Release repo for Vicuna and FastChat-T5.

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FunASR

A Fundamental End-to-End Speech Recognition Toolkit

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Megatron-DeepSpeed

Ongoing research training transformer language models at scale, including: BERT & GPT-2

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OpenNMT-py

Open Source Neural Machine Translation in PyTorch

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OpenNMT-tf

Neural machine translation and sequence learning using TensorFlow

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pytorch-pretrained-BERT

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

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RWKV-LM

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

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stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

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tensorflow

Computation using data flow graphs for scalable machine learning

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you-get

:arrow_double_down: Dumb downloader that scrapes the web

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