tankh64

tankh64's Stars

• QwenLM/Qwen2.5

  Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.

  Language:Shell8.6k535

• dav/word2vec

  This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.

  Language:C1.6k618

• modded-ubuntu/modded-ubuntu

  Run Ubuntu GUI on your termux with much features.

  Language:Shell79196

• lxs602/Chinese-Mandarin-Dictionaries

  中文词典 / 中文詞典。Chinese / Chinese-English dictionaries.

  Language:HTML13721

• dahlia/unihan-json

  JSON data files parsed from the Unicode Han Database (Unihan)

  Language:Python7

• rycont/hanja-grade-dataset

  한국어문회 등급별 선정한자 CSV 데이터셋

  Language:Python10

• haneul-yoo/HUE

  Hanja Understanding Evaluation Dataset

  Language:Jupyter Notebook131

• unicode-org/unihan-database

  For review of draft Unihan database changes, removals, and additions by experts.

  446

• tone-row/canvas-to-svg

  Use HTML Canvas API but produce an SVG

  Language:JavaScript101

• gliffy/canvas2svg

  Translates HTML5 Canvas draw commands to SVG

  Language:JavaScript690157

• Lvellios/OpenWrt-IPQ

  Language:Shell8829

• muink/openwrt-stuntman

  This is stuntman running on openwrt. Compliant with the latest RFCs including 5389, 5769, and 5780. Also includes backwards compatibility for RFC 3489.

  Language:Makefile2

• paullouisageneau/violet

  Lightweight STUN/TURN server

  Language:C21321

• aiortc/aiortc

  WebRTC and ORTC implementation for Python using asyncio

  Language:Python4.2k759

• kripken/BananaBread

  BananaBread is a C++ 3D game engine that runs on the web using JavaScript+WebGL+HTML

  Language:C++1.4k340

• rsusik/screenpen

  ScreenPen is a simple screen annotation software that allows drawing directly on the screen.

  Language:Python8318

• auspicious3000/contentvec

  speech self-supervised representations

  Language:Python46036

• mozilla/DeepSpeech

  DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

  Language:C++25.1k3.9k

• facebookresearch/svoice

  We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.

  Language:Python1.2k178

• jik876/hifi-gan

  HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

  Language:Python1.9k504

• CNChTu/Diffusion-SVC

  Language:Python40359

• CLUEbenchmark/CLUECorpus2020

  Large-scale Pre-training Corpus for Chinese 100G 中文预训练语料

  91482

• brightmart/nlp_chinese_corpus

  大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

  9.4k1.5k

• pwxcoo/chinese-xinhua

  :orange_book: 中华新华字典数据库。包括歇后语，成语，词语，汉字。

  Language:Python10.9k2.5k

• camenduru/so-vits-svc

  so-vits-svc

  1

• webglearth/webglearth2

  [UNMAINTAINED] WebGL Earth 2 - the source code of the project

  Language:JavaScript885212

• XingangPan/DragGAN

  Official Code for DragGAN (SIGGRAPH 2023)

  Language:Python35.7k3.4k

• voicepaw/so-vits-svc-fork

  so-vits-svc fork with realtime support, improved interface and more features.

  Language:Python8.7k1.2k

• BigAnteater/MacOS-KVM-GPU-Passthrough

  Run macOS on QEMU/KVM. With OpenCore + Big Sur + Monterey support now! Only commercial (paid) support is available now to avoid spammy issues. No Mac system is required.

  Language:Python928

• milaan9/01_Python_Introduction

  Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you won’t face any difficulty understanding these tutorials.

  Language:Jupyter Notebook319266