wizyoung Repositories

wizyoung/AppleSiliconSelfBuilds

Last commit Apr 20, 2022

(73 stars) (4 forks) (0 indexed issues) (0 open good first issues)

wizyoung/Awesome-TTRSSDockerfile

🐋 Awesome TTRSS, a powerful Dockerised all-in-one RSS solution.

Last commit Jun 17, 2021

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wizyoung/DeepResearchPython

Tongyi Deep Research, the Leading Open-source Deep Research Agent

Last commit Oct 9, 2025

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wizyoung/DiffTrackerTypeScript

DiffTracker: Record changes and view inline diffs in vscode like Git, with one-click side-by-side comparisons.

Last commit Feb 10, 2026

(21 stars) (6 forks) (0 indexed issues) (0 open good first issues)

wizyoung/I3D_TensorFlowPython

TensorFlow code for finetuning on your own dataset.

Last commit Sep 16, 2018

(10 stars) (2 forks) (0 indexed issues) (0 open good first issues)

wizyoung/Liger-KernelPython

Efficient Triton Kernels for LLM Training

Last commit Nov 7, 2024

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wizyoung/Mac-plugins

我开发的一些macOS系统插件

Last commit Aug 23, 2017

(6 stars) (1 fork) (0 indexed issues) (0 open good first issues)

wizyoung/Minimal-RNN-TensorFlowPython

Implementation of Minimal RNN

Last commit Sep 16, 2018

(2 stars) (0 forks) (0 indexed issues) (0 open good first issues)

wizyoung/Optical-Flow-GPU-DockerPython

Compute dense optical flow using TV-L1 algorithm with NVIDIA GPU acceleration.

Last commit Nov 29, 2018

(58 stars) (7 forks) (0 indexed issues) (0 open good first issues)

wizyoung/PaddleC++

PArallel Distributed Deep LEarning （『飞桨』核心框架，高性能单机、分布式训练和跨平台部署）

Last commit Sep 18, 2019

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wizyoung/RSSHubJavaScript

🍰 Everything is RSSible

Last commit Jul 18, 2021

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wizyoung/SST-TensorflowPython

Tensorflow Implementation of the Paper "SST: Single-Stream Temporal Action Proposals" in CVPR 2017.

Last commit May 2, 2018

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wizyoung/STIL-DeepFake-Video-Detection

Code for paper STIL: Spatiotemporal Inconsistency Learning for DeepFake Video Detection

Last commit Mar 14, 2022

(4 stars) (0 forks) (0 indexed issues) (0 open good first issues)

wizyoung/TNNC++

TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. 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. TNN：由腾讯优图实验室和光影实验室协同打造，移动端高性能、轻量级推理框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地，欢迎大家参与协同共建，促进TNN推理框架进一步完善。

Last commit Jul 15, 2021