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multimodal-gpt

Multimodal-GPT

neural_sp

End-to-end ASR/LM implementation with PyTorch

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

openface

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

open_flamingo

An open-source framework for training large multimodal models.

paddlespeech

An Easy-to-use Speech Toolkit including SOTA ASR pipeline, influential TTS with text frontend and End-to-End Speech Simultaneous Translation.

patchelf

A small utility to modify the dynamic linker and RPATH of ELF executables

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

phonetic-recognition

语音识别 MFCCs特征处理 cnn神经网络

pika

a lightweight speech processing toolkit based on Pytorch and (Py)Kaldi

python

All Algorithms implemented in Python

qwen-vl

The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.

rag-survey

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

rnn-transducer

A Pytorch Implementation of Transducer Model for End-to-End Speech Recognition

rnnoise

Recurrent neural network for audio noise reduction

rnnt-speech-recognition

End-to-end speech recognition using RNN Transducers in Tensorflow 2.0

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.

sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

sherpa

Speech-to-text server framework with next-gen Kaldi

sherpa-onnx

Real-time speech recognition using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, x86_64 servers, websocket server/client, C/C++, Python, Kotlin

speech-emotion-recognition

Speech emotion recognition using LSTM, SVM and MLP, implemented in Keras | 语音情感识别

speechtokenizer

This is the code for the SpeechTokenizer presented in the SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models. Samples are presented on

speech_recognition

中文语音识别

stable-diffusion

A latent text-to-image diffusion model

stable-diffusion-webui

Stable Diffusion web UI

streamingtransformer

the-art-of-command-line

Master the command line, in one page

transformer-xl

transformers

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