glasses
deep-learning-v2-pytorch
glasses | deep-learning-v2-pytorch | |
---|---|---|
2 | 1 | |
413 | 5,180 | |
- | 0.5% | |
1.8 | 0.0 | |
over 1 year ago | 11 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT 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.
glasses
-
Are Open-sourced Implementations Sometimes Over-engineered?
Yes, they are. Take with a grain of salt, but researchers (usually) do not know how to code and (or) they don't care to properly share their work. Things that are learned in the first Computer Science bachelor year, like OOP, DRY, packages, good variables/function naming, are apparently not used in ml research. This is why I created my own library (https://github.com/FrancescoSaverioZuppichini/glasses), for me, good code means less time I have to spend working and more free time.
-
[N] Facebook announced a new AI open-source called DeiT (A new technique to train computer vision models)
I have implemented most of the sota models in my library (https://github.com/FrancescoSaverioZuppichini/glasses). These are my 2 cents:
deep-learning-v2-pytorch
-
how can i activate the cells in this github
in this link deep-learning-v2-pytorch/StudentAdmissions.ipynb at master ยท udacity/deep-learning-v2-pytorch ยท GitHub
What are some alternatives?
yolov5 - YOLOv5 ๐ in PyTorch > ONNX > CoreML > TFLite
cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
monodepth2 - [ICCV 2019] Monocular depth estimation from a single image
stable-diffusion-reference-only - img2img version of stable diffusion. Anime Character Remix. Line Art Automatic Coloring. Style Transfer.
conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
torchdyn - A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.
gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.