Deep-Learning-With-TensorFlow VS PyTorch-Crash-Course

Compare Deep-Learning-With-TensorFlow vs PyTorch-Crash-Course and see what are their differences.

PyTorch-Crash-Course

This is the repository for the PyTorch machine learning crash course. (by EzpieCo)
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Deep-Learning-With-TensorFlow PyTorch-Crash-Course
1 1
42 1
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4.2 10.0
over 3 years ago 8 months ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 -
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Deep-Learning-With-TensorFlow

Posts with mentions or reviews of Deep-Learning-With-TensorFlow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-12-12.

PyTorch-Crash-Course

Posts with mentions or reviews of PyTorch-Crash-Course. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Deep-Learning-With-TensorFlow and PyTorch-Crash-Course you can also consider the following projects:

PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

PyTorchStepByStep - Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

ai-art-generator - For automating the creation of large batches of AI-generated artwork locally.

pytorch-image-classification - Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Learning-Content - Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.

docs - TensorFlow documentation

AI-Art-Generator - A program that can add an artistic touch to any image.

AlgoBook - A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

MachineLearning-QandAI-book - Machine Learning Q and AI book

Artificial-Intelligence_resources-and-notebooks - This repo contains various different datasets and codes with various different algorithms. This also contains code and demonstrations to run an Artificial Intelligence Algorithm on the edge. It also contains many datasets where one can practice AI.

Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

Deep-Learning-With-TensorFlow-Blog-series - All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow [Moved to: https://github.com/Rishit-dagli/Deep-Learning-With-TensorFlow]