edgedns
albumentations
Our great sponsors
| edgedns | albumentations | |
|---|---|---|
| 2 | 28 | |
| 498 | 13,425 | |
| - | 2.1% | |
| 0.0 | 8.9 | |
| over 3 years ago | 2 days ago | |
| Rust | Python | |
| ISC License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
edgedns
- Ask HN: What side projects landed you a job?
-
How to build a CDN (1/3): introduction and basic components
For the biggest pioneers, there is also a variant to build your own GeoDNS service with your own name servers. But for this to make sense and real value, anycast IP addresses would be needed. Also a number of other reliable servers around the world with DDoS protection and then understand, select and adapt eg EdgeDNS or Czech Knot DNS (which also uses Cloudflare). However, commercial GeoDNS services are relatively cheap and reliable, so we can’t imagine an ROI that would make sense with our own small, non-commercial DNS solution.
albumentations
-
Augment specific classes?
You can use albumentations if you are comfortable with using open source libraries https://github.com/albumentations-team/albumentations
-
Ask HN: What side projects landed you a job?
One of the members of the core team of our open-source library https://albumentations.ai/
It was not the only reason he was hired; it was a solid addition to his already good performance at the interviews.
Or at least that is what the hiring manager later said.
-
The Lack of Compensation in Open Source Software Is Unsustainable
I am one of the creators and maintainers of https://albumentations.ai/.
- 12800+ stars
-
Burn Deep Learning Framework Release 0.7.0: Revamped (de)serialization, optimizer & module overhaul, initial ONNX support and tons of new features.
Is something planned to support data augmentations? Something like https://albumentations.ai/
-
How to label augmented images for training YOLO algorithm?
Here you go: https://albumentations.ai/
-
Unstable Diffusion bounces back with $19,000 raised in one day, by using Stripe
I think they should use some data augmentation techniques like I am using for Infinity AI if you wanna see more here. Note that most of these do not work for image generation.
-
Tokyo Drift : detecting drift in images with NannyML and Whylogs
Our second approach was a more automated one. Here the idea was to try out an image augmentation library, Albumentations, and use it for adversarial attacks. This time, instead of one-shot images, we applied the transformations at random time ranges. We chose for these transformations also to be more subtle than then one-shot images, such as vertical flips, grayscaling, downscaling, …
-
[D] Improve machine learning with same number of images
Check out albumentations. If your use case is segmentation, check out the offline augmentation of this project
-
What are the best programs/scripts for image augmentation of YOLO5 training dataset. Something like roboflow but free)
I think this is the most popular open source project: https://github.com/albumentations-team/albumentations
-
To get dataset for face image restoration.
You can also curate your own dataset by using open source images (https://universe.roboflow.com/search?q=faces%20images%3E1000) and open source augmentations (https://github.com/albumentations-team/albumentations). Or you can do use the augmentation UI (https://docs.roboflow.com/image-transformations/image-augmentation) to apply noise, blurring, shear, crop, etc.
What are some alternatives?
rust-memcache - memcache client for rust
imgaug - Image augmentation for machine learning experiments.
moka - A high performance concurrent caching library for Rust
YOLO-Mosaic - Perform mosaic image augmentation on data for training a YOLO model
dns-over-wikipedia - Redirect `.idk` domains using Wikipedia
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
cachepot - cachepot is `sccache` with extra sec, which in turn is `ccache` with cloud storage
autoalbument - AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
vodo - A primitive DNS server written in Rust for fun.
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
hitbox - A high-performance caching framework suitable for single-machine and for distributed applications in Rust
BlenderProc - A procedural Blender pipeline for photorealistic training image generation