wxbool

wxbool's Stars

• huggingface/transformers

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

  Language:Python127k1.1k15k25.2k

• ollama/ollama

  Get up and running with Llama 3, Mistral, Gemma, and other large language models.

  Language:Go72.3k4403.1k5.3k

• huggingface/candle

  Minimalist ML framework for Rust

  Language:Rust14k148581776

• jasonppy/VoiceCraft

  Zero-Shot Speech Editing and Text-to-Speech in the Wild

  Language:Jupyter Notebook7k87104694

• Zejun-Yang/AniPortrait

  AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation

  Language:Python4.1k59157515

• lich0821/WeChatFerry

  微信机器人底层框架，可接入Gemini、ChatGPT、ChatGLM、讯飞星火、Tigerbot等大模型。WeChat Robot Hook.

  Language:C++2.9k47108528

• huggingface/parler-tts

  Inference and training library for high-quality TTS models.

  Language:Python2.7k4541281

• xinyu1205/recognize-anything

  Open-source and strong foundation image recognition models.

  Language:Jupyter Notebook2.5k26142235

• facebookresearch/denoiser

  Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

  Language:Python1.6k38149295

• TMElyralab/MuseTalk

  MuseTalk: Real-Time High Quality Lip Synchorization with Latent Space Inpainting

  Language:Python1.5k34109165

• pemistahl/lingua-go

  The most accurate natural language detection library for Go, suitable for short text and mixed-language text

  Language:Go1.1k113464

• nihui/realsr-ncnn-vulkan

  RealSR super resolution implemented with ncnn library

  Language:C1.1k2947111

• declare-lab/tango

  A family of diffusion models for text-to-audio generation.

  Language:Python941254272

• showlab/Image2Paragraph

  [A toolbox for fun.] Transform Image into Unique Paragraph with ChatGPT, BLIP2, OFA, GRIT, Segment Anything, ControlNet.

  Language:Python767112851

• QPT-Family/QPT

  [内测中]QPT - 致力于让开源项目更好通往互联网世界的Python to EXE工具（Python打包）。

  Language:Python69989780

• axodox/axodox-machinelearning

  This repository contains a pure C++ ONNX implementation of multiple offline AI models, such as StableDiffusion (1.5 and XL), ControlNet, Midas, HED and OpenPose.

  Language:C++597131634

• muesli/kmeans

  k-means clustering algorithm implementation written in Go

  Language:Go44991252

• gotranspile/cxgo

  Tool for transpiling C to Go.

  Language:Go27254020

• axodox/unpaint

  A simple Windows / Xbox app for generating AI images with Stable Diffusion.

  Language:C++261114011

• KdaiP/StableTTS

  Next-generation TTS model using flow-matching and DiT, inspired by Stable Diffusion 3

  Language:Python261261227

• numediart/EmoV-DB

  The Emotional Voices Database: Towards Controlling the Emotional Expressiveness in Voice Generation Systems

  Language:Python2329520

• uthree/tinyvc

  a lightweight voice conversion

  Language:Python679

• jack139/go-infer

  Go framework for DL model inference and API deployment

  Language:Go501010

• chenyangMl/keyword-spot

  端到端语音唤醒工具箱，从模型训练到模型推理。

  Language:Python487

• NextAudioGen/ultimatevocalremover_api

  API for a Vocal Remover that uses Deep Neural Networks.

  Language:Python41295

• instant-high/wav2lip-onnx-HQ

  Full version of wav2lip-onnx including face alignment and face enhancement and more...

  Language:Python286

• spkgyk/RTFS-Net

  Official code release for "RTFS-Net: Recurrent time-frequency modelling for efficient audio-visual speech separation", accepted ICLR 2024

  Language:Python28123

• Okrio/tinyrecurrentunet

  Real-Time De-noising and De-reverbing with Tiny Recurrent UNet

  Language:Python211012

• yvonwin/qwen2.cpp

  qwen2 and llama3 cpp implementation

  Language:C++21140

• fxkt-tech/liv

  friendly ffmpeg wrap for go.

  Language:Go3102