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Name: Hongwen

Type: User

Hongwen's Projects

stanford_alpaca

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

stargan

StarGAN - Official PyTorch Implementation (CVPR 2018)

stargan-v2

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

starganv2-vc

StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

stt

The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.

style_avatar

A repository for generating stylized talking 3D and 3D face

syntaspeech

Official PyTorch implementation of SyntaSpeech (IJCAI 2022)

sysmocap

A real-time motion capture system for 3D virtual character animating.

tango

Codes and Model of the paper "Text-to-Audio Generation using Instruction Tuned LLM and Latent Diffusion Model"

task-oriented-dialogue-dataset-survey

A dataset survey about task-oriented dialogue, including recent datasets and SOTA results & papers.

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorflow-wavenet

A TensorFlow implementation of DeepMind's WaveNet paper

tensorflow2_tutorials_chinese

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

tensorrt

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

text-generation-webui

A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.

tf2_course

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

tf_trt_models

TensorFlow models accelerated with NVIDIA TensorRT

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

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