One thought on “Python Libraries Artificial Neural Networks (ANNs) +3 What is the best neural network library for Python?” Admin Blogs says: May 7, 2016 at 9:42 pm Google neural network library for Python https://code.google.com/archive/p/neurolab/ Reply Leave...
PyTorch Geometric (🥇40 · ⭐ 22K) - Graph Neural Network Library for PyTorch. MIT GitHub (👨💻 540 · 🔀 3.8K · 📦 8.6K · 📋 3.9K - 30% open · ⏱️ 02.04.2025): git clone https://github.com/pyg-team/pytorch_geometric PyPi (📥 540K / month · 📦 ...
This python course is full of resources for network professionals who want to integrate Python into network programming. However, it is not confined to network professionals only; anyone with no knowledge of network engineering can get quite smooth with this course. It allows you to learn from ba...
Gain hands-on experience with Python data science libraries for data analysis Analyze the connectivity of a social network Learn information visualization basics with a focus on reporting, charting using the matplotlib library Discern whether a data visualization is good or bad ...
Get access to over 100 example python code notebooks Build a portfolio of various data analysis projects Duration : 21 hours on-demand video Rating : 4.3 Sign up Here 8.Mastering Data Visualization in D3.js (Udemy) D3.js is a JavaScript library for data visualization; very powerful for cre...
At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use
As said before, you will learn to create ten applications including portfolio website, webcam motion detector, web scrapper of property data, interactive web graph, etc. In a nutshell, this is a fine course if you want to kickstart your Python language career. Notable Features: Using Python...
Just having been released in the past few days, TensorFlow is a high-level neural network library that helps you program your network architectures while avoiding the low-level details. The focus is more on allowing you to express your computation as a data flow graph, which is much more ...
Deep Learning from Scratch: Building with Python from First Principles Weidman, Seth (Author) English (Publication Language) 250 Pages - 10/15/2019 (Publication Date) - O'Reilly Media (Publisher) With the resurgence of neural networks in the 2010s, in-depth learning became essential for machine...
If you are looking for a library to solve a problem and you have doubts about how to start, I recommend looking for inspiration here. Best of Machine Learning with Python (⭐9.5k) In the repository you will find a carefully selected list of over 900 open-source projects for Python. ...