Pinned Repositories
Ad-Insertion-Sample
The intelligent ad-insertion reference pipeline shows how to integrate various media building blocks, with analytics powered by the OpenVINO™ Toolkit, to accelerate your converged media pipeline. This is a server-side ad insertion sample (not a finished product) that can be referenced by developers to ease application development challenges.
arduino-EventManager
An event handling system for Arduino. It allows you to register "listeners" and post events for them. Designed to be interrupt safe.
Book3_Elements-of-Mathematics
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
Book4_Power-of-Matrix
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
cartwheel-ffmpeg
Intel developer staging area for unmerged upstream patch contributions to FFmpeg
CDN
CDN-Transcode-Sample
Media transcoding is a key function for live video broadcasting, streaming, and video on demand use cases in a CDN network. The CDN Transcode sample (not a finished product) provides a reference pipeline to build an out-of-box 1:N CDN streaming transcode service example.
compute-runtime
Intel(R) Graphics Compute Runtime for OpenCL(TM). Replaces Beignet for Gen8 (Broadwell) and beyond.
CPP-Templates-2nd--
《C++ Templates 第二版》中文翻译，和原书排版一致，第一部分（1至11章）以及第18，19，20，21、22、23、24、25章已完成，其余内容逐步更新中。 个人爱好，发现错误请指正
Learn-LLVM-17
《Learn LLVM 17》的非专业个人翻译
TangZhiZhen's Repositories
TangZhiZhen/Learn-LLVM-17
《Learn LLVM 17》的非专业个人翻译
TangZhiZhen/Book3_Elements-of-Mathematics
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
TangZhiZhen/Book4_Power-of-Matrix
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
TangZhiZhen/cartwheel-ffmpeg
Intel developer staging area for unmerged upstream patch contributions to FFmpeg
TangZhiZhen/compute-runtime
Intel(R) Graphics Compute Runtime for OpenCL(TM). Replaces Beignet for Gen8 (Broadwell) and beyond.
TangZhiZhen/CPP-Templates-2nd--
《C++ Templates 第二版》中文翻译，和原书排版一致，第一部分（1至11章）以及第18，19，20，21、22、23、24、25章已完成，其余内容逐步更新中。 个人爱好，发现错误请指正
TangZhiZhen/CUDA_Freshman
TangZhiZhen/Data-Paralle-Cpp
个人翻译《Data Parallel C++》
TangZhiZhen/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
TangZhiZhen/DeepLearningSystem
Deep Learning System core principles introduction.
TangZhiZhen/DeepReinforcementLearningInAction
Code from the Deep Reinforcement Learning in Action book from Manning, Inc
TangZhiZhen/DirectX-Graphics-Samples
This repo contains the DirectX Graphics samples that demonstrate how to build graphics intensive applications on Windows.
TangZhiZhen/DRL
Deep Reinforcement Learning
TangZhiZhen/EssentialsOfParallelComputing
Main Book repository for the Parallel and High Performance Computing book, Manning Publications
TangZhiZhen/FFmpeg
Mirror of https://git.ffmpeg.org/ffmpeg.git
TangZhiZhen/FFmpeg-GPU-Demo
A FFmpeg based demo showing GPU's all-round capability in video processing
TangZhiZhen/FidelityFX-FSR2
FidelityFX Super Resolution 2
TangZhiZhen/gstreamer-media-SDK
TangZhiZhen/InventorySample
Sample UWP application for LOB scenarios
TangZhiZhen/libva
Libva is an implementation for VA-API (Video Acceleration API)
TangZhiZhen/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
TangZhiZhen/media-driver
TangZhiZhen/MediaSDK
The Intel® Media SDK
TangZhiZhen/MediaSDK_OMX_IL
TangZhiZhen/mlimpl
The repository which collects some codes that encapsulates commonly used machine learning algorithms. Most are based on numpy, pandas or torch. U can deepen your understanding to related model and algorithm or revise it to get customized code belongs yourself by referring to this repository. I'm very glad that it can give u a bit of inspiration.
TangZhiZhen/oneVPL
oneAPI Video Processing Library (oneVPL) dispatcher, tools, and examples
TangZhiZhen/PracticalDeepLearningPython
Source code for the book "Practical Deep Learning: A Python-Based Introduction" (No Starch Press)
TangZhiZhen/ue4-conan-recipes
Conan recipes for UE4-compatible library packages
TangZhiZhen/vk_video_samples
Vulkan video samples
TangZhiZhen/Windows-driver-samples
This repo contains driver samples prepared for use with Microsoft Visual Studio and the Windows Driver Kit (WDK). It contains both Universal Windows Driver and desktop-only driver samples.