PyTorchZeroToAll
Hands-On-Deep-Learning-Algorithms-with-Python
PyTorchZeroToAll | Hands-On-Deep-Learning-Algorithms-with-Python | |
---|---|---|
1 | 1 | |
3,825 | 107 | |
- | 3.7% | |
0.0 | 0.0 | |
almost 2 years ago | about 1 year ago | |
Python | Jupyter Notebook | |
- | 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.
PyTorchZeroToAll
-
[D] I'm trying to do more stuff in pure Tensorflow. Is there an in-depth book that explain constructing recurrent, convolutional, graph etc layers in it?
I'm doing this rn, but with PyTorch. I look for notebooks/scripts (https://github.com/hunkim/PyTorchZeroToAll, primarily) on github read and copy them, along with the deeplearning book. Surprisingly pretty much everything just clicks now, it's my third attempt reading the text though. I don't think any book serves the purpose well, except for knowing the well established conventions of the field.
Hands-On-Deep-Learning-Algorithms-with-Python
-
[D] I'm trying to do more stuff in pure Tensorflow. Is there an in-depth book that explain constructing recurrent, convolutional, graph etc layers in it?
The code : https://github.com/PacktPublishing/Hands-On-Deep-Learning-Algorithms-with-Python
What are some alternatives?
python-systemd-tutorial - A tutorial for writing a systemd service in Python
fastbook - The fastai book, published as Jupyter Notebooks
python-minecraft-clone - Source code for each episode of my Minecraft clone in Python YouTube tutorial series.
comet-examples - Examples of Machine Learning code using Comet.ml
vision_transformer - Discover how to build vision transformer from scratch with this comprehensive tutorial. Follow our step-by-step guide to create your own vision transformer.
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
stanford-tensorflow-tutorials - This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Calculadora - Calculadora simples escrita em Python. Realiza soma, subtração, multiplicação, divisão, exponenciação e raiz.
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
QualityScaler - QualityScaler - image/video deeplearning upscaling for any GPU
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0