Ashish's repositories
awesome-yolo-object-detection
🔥🔥🔥 A collection of some awesome YOLO series projects.
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
YOLOv5-Multibackbone-Compression
YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming) and Quantization (MQBench) Compression Tool Box.
YOLOv7-Pytorch-Segmentation
YOLOv7 segmentation pytorch implementation guide
365-Days-Computer-Vision-Learning-Linkedin-Post
365 Days Computer Vision Learning Linkedin Post
66Days_MachineLearning
I am sharing my journey of 66DaysOfData in Machine Learning
All_cfg_files_DL
Convolutional Neural Networks
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
data-science-notes
Data Science Learning Notes
datascience
Curated list of Python resources for data science.
EESRGAN
Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network
GWC_solution
1st place solution of the Global Wheat Challenge 2021, by randomTeamName
image_bbox_slicer
This easy-to-use library is a data transformer sometimes useful in Object Detection and Segmentation tasks. With only a few lines of code, one can slice images and their bounding box annotations into smaller tiles, both into specific sizes and into any arbitrary number of equal parts. The tool also supports resizing of images and their bounding box annotations, both by specific sizes and by a resizing/scaling factor.
Implemented-Data-Science
Implementation of various data science techniques and research papers
mlbookcamp-code
The code from the Machine Learning Bookcamp book and a free course based on the book
Object-image-deep-learning
Resources for deep learning with satellite & aerial imagery
simple-tools-for-machine-learning
Simple tools for deep learning. Including computer vision, machine learning,...
yoloV5_modify_smalltarget
self_modifiy
zenml
ZenML 🙏: MLOps framework to create reproducible pipelines.