yingzhenyi

yingzhenyi's Stars

• BradyFU/Awesome-Multimodal-Large-Language-Models

  :sparkles::sparkles:Latest Advances on Multimodal Large Language Models

  12.7k807

• alibaba/MNN

  MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

  Language:C++8.7k1.7k

• Genymobile/scrcpy

  Display and control your Android device

  Language:C112k10.7k

• htqin/BiFSMNv2

  Pytorch implementation of BiFSMNv2, TNNLS 2023

  Language:Python297

• htqin/BiFSMN

  Pytorch implementation of BiFSMN, IJCAI 2022

  Language:Python214

• Kitware/CMake

  Mirror of CMake upstream repository

  Language:C6.9k2.5k

• microsoft/onnxruntime

  ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

  Language:C++14.7k2.9k

• google/sanitizers

  AddressSanitizer, ThreadSanitizer, MemorySanitizer

  Language:C11.5k1k

• gabime/spdlog

  Fast C++ logging library.

  Language:C++24.4k4.5k

• k2-fsa/k2

  FSA/FST algorithms, differentiable, with PyTorch compatibility.

  Language:Cuda1.1k215

• YangDK/openfst-android-ndk

  Build OpenFst using ndk-build

  Language:C++115

• CorentinJ/Real-Time-Voice-Cloning

  Clone a voice in 5 seconds to generate arbitrary speech in real-time

  Language:Python52.7k8.8k

• suno-ai/bark

  🔊 Text-Prompted Generative Audio Model

  Language:Jupyter Notebook36.1k4.3k

• coqui-ai/TTS

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

  Language:Python35.5k4.3k

• open-mmlab/Amphion

  Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.

  Language:Jupyter Notebook7.6k571

• huggingface/distil-whisper

  Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.

  Language:Python3.6k294

• openai/whisper

  Robust Speech Recognition via Large-Scale Weak Supervision

  Language:Python71.4k8.5k

• NascentCore/llm-numbers-cn

  中文版 llm-numbers

  1075

• DA-southampton/NLP_ability

  总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

  Language:Python6.9k1.2k

• coqui-ai/open-speech-corpora

  💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies

  1.3k140

• SmallVagetable/machine_learning_python

  通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯

  Language:Python721268

• lutzroeder/netron

  Visualizer for neural network, deep learning and machine learning models

  Language:JavaScript28.2k2.8k

• liguodongiot/llm-action

  本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

  Language:HTML10.7k1.1k

• mymusise/ChatGLM-Tuning

  基于ChatGLM-6B + LoRA的Fintune方案

  Language:Python3.7k442

• microsoft/onnxruntime-inference-examples

  Examples for using ONNX Runtime for machine learning inferencing.

  Language:C++1.2k337

• THUDM/ChatGLM-6B

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

  Language:Python40.7k5.2k

• espnet/espnet

  End-to-End Speech Processing Toolkit

  Language:Python8.5k2.2k

• trainML/stable-diffusion-2

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Python21

• AUTOMATIC1111/stable-diffusion-webui

  Stable Diffusion web UI

  Language:Python143k27k

• ericperfect/libtorch_tokenizer

  BERT Tokenizer in C++

  Language:C++7419