Pinned Repositories
-psiphon
赛风镜像
2019_algorithm_intern_information
2020年的算法实习岗位/校招公司信息表,部分包括内推码,和常见深度学习算法岗面试题及答案,暑期计算机视觉实习面经和总结
AIGC_Interview
📚 AIGC 求职面经、必备基础知识、提示词工程、ChatGPT、Stable Diffusion、Prompt、Embedding、Fintune 等 AIGC 求职你所需要知道的一切~
albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Algorithms_Engineer_Interview
计算机视觉算法工程师实习生面试总结(微软、阿里、商汤、海康、华为、平安offer)
AnomalyCLIP
Official implementation for AnomalyCLIP (ICLR 2024)
anomalydiffusion
[AAAI 2024] AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model
anylabeling
Effortless AI-assisted data labeling with AI support from Segment Anything and YOLO!
darknet
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
scottflybird's Repositories
scottflybird/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
scottflybird/Algorithms_Engineer_Interview
计算机视觉算法工程师实习生面试总结(微软、阿里、商汤、海康、华为、平安offer)
scottflybird/awesome-lane-detection
A paper list of lane detection.
scottflybird/awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
scottflybird/caffe
Caffe: a fast open framework for deep learning.
scottflybird/CaptainBlackboard
我的一些技术总结和学习笔记
scottflybird/d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
scottflybird/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,近30万字。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
scottflybird/detect_steel_bar
CCFDF AI 数钢筋大赛
scottflybird/Dive-into-DL-PyTorch
Dive into Deep Learning (动手学深度学习) with PyTorch.
scottflybird/LaneDetection_End2End
End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)
scottflybird/lanenet-lane-detection
Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
scottflybird/lihang-code
《统计学习方法》的代码实现
scottflybird/ONE-Robot
2015年做的一个基于IMU和STM32的独轮自平衡机器人
scottflybird/Paper-Sharing
论文分享
scottflybird/pumpkin-book
《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book
scottflybird/Python-100-Days
Python - 100天从新手到大师
scottflybird/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
scottflybird/pytorch-FCN-easiest-demo
PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).
scottflybird/pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
scottflybird/pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
scottflybird/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
scottflybird/pytorch-yolo-v3
A PyTorch implementation of the YOLO v3 object detection algorithm
scottflybird/PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
scottflybird/pytorch2caffe
Convert PyTorch model to Caffemodel
scottflybird/pytorch2caffe-1
pytorchTocaffe
scottflybird/scottwyh.github.io
Nemo's Blog ->
scottflybird/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
scottflybird/SpatialEmbeddings
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth
scottflybird/Stage
工程与学术笔记