lxyxl0216

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

FaceSynthetics

lxyxl0216.github.io

You-Can-See-Clearly-Now

A collection of awesome low-light image enhancement methods.

100-Days-Of-ML-Code

100-Days-Of-ML-Code中文版

AiLearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Audio-Development-Tools

This is a list of sound, audio and music development tools which contains machine learning, audio generation, audio signal processing, sound synthesis, spatial audio, music information retrieval, music generation, speech recognition, speech synthesis, singing voice synthesis and more.

awesome-3d-human-reconstruction

awesome-algorithm

LeetCode, HackRank, 剑指offer, classic algorithm implementation

awesome-conditional-content-generation

Update-to-data resources for conditional content generation, including human motion generation, image or video generation and editing.

Awesome-Deblurring

A curated list of resources for Image and Video Deblurring

Cpp-Primer-5th-Notes-CN

📚 《C++ Primer中文版（第5版）》笔记

CS-Notes

:books: Computer Science Learning Notes

deep_cage

code for "Neural Cages for Detail-Preserving 3D Deformations"

chatglm_finetuning

chatglm 6b finetuning and alpaca finetuning

Chinese-LLaMA-Alpaca

中文LLaMA&Alpaca大语言模型+本地CPU/GPU部署 (Chinese LLaMA & Alpaca LLMs)

noteForOpenGL

OpenGL学习脚印配套代码

NTES_MySQL_notes

网易云课堂MySQL微专业学习笔记

openpose_unity_plugin

OpenPose's Unity Plugin for Unity users

OptAlgorithm

pixel2style2pixel

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework

pyecharts-gallery

Just use pyecharts to imitate Echarts official example.

sword-for-offer-solution

我的《剑指Offer》（第 2 版）刷题记录，包括代码和笔记。

tensorRT_Pro

C++ library based on tensorrt integration

text2mesh

3D mesh stylization driven by a text input in PyTorch

TNN

TNN：由腾讯优图实验室打造，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。