yi94code

HRSOD

Awesome-Incremental-Learning

Awesome Incremental Learning

chinese-programmer-wrong-pronunciation

**程序员容易发音错误的单词

ColossalAI

Making large AI models cheaper, faster and more accessible

CS-Notes

:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计

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

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

FACIL

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

fcn

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

ImageProcessing100Wen

「画像処理100本ノック」中文版本！为图像处理初学者设计的 100 个问题。

Install-OpenCV

shell scripts to install different version of OpenCV in different distributions of Linux

leetcode

The optimum C++ solutions for the leetcode

FewShotLearning-tSF

Code for ECCV 2022 paper "tSF: Transformer-based Semantic Filter for Few-Shot Learning"

leetcode-1

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

LeetCodeAnimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

MCTformer

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Python

All Algorithms implemented in Python

resume

An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git

sal_eval_toolbox

evaluation toolbox for salient object detection

SegLoss

A collection of loss functions for medical image segmentation

stable-diffusion-webui-colab

stable diffusion webui colab

stanford_alpaca

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

STDC-Seg

Source Code of our CVPR2021 paper "Rethinking BiSeNet For Real-time Semantic Segmentation"