Pytorch Alternatives & Concurrents
An open source machine learning framework that accelerates the path from research prototyping to production deployment.
Alternatives et concurrents à pytorch.org en termes de contenu, de trafic et de structure
Papers With Code highlights trending Machine Learning research and the code to implement it.
An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.
Fast.ai – fast.ai—Making neural nets uncool again.
Why NumPy? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant. Open source.
Keras documentation
Promoting openness in scientific communication and the peer-review process
ACL Anthology - ACL Anthology.
NeurIPS 2024.
The Computer Vision Foundation – A non-profit organization that fosters and supports research in all aspects of computer vision.
Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.
Helping developers, students, and researchers master Computer Vision, Deep Learning, and OpenCV.
Making developers awesome at machine learning.
Course materials and notes for Stanford class CS231n: Convolutional Neural Networks for Visual Recognition.
Accelerate AI training, power complex simulations, and render faster with NVIDIA H100 GPUs on Paperspace. Easy setup, cost-effective cloud compute.
Scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation.
Matplotlib — Visualization with Python.
PyData |.
Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.
Code faster with Kite’s AI-powered autocomplete plugin for over 16 programming languages and 16 IDEs, featuring Multi-Line Completions. Works 100% locally.
Faroit.
NeurIPS 2024.
AAAI advances the understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Your home for data science. A Medium publication sharing concepts, ideas and codes.
ACL Member Portal | The Association for Computational Linguistics Member Portal.
Analytics Vidhya - Learn Machine learning, artificial intelligence, business analytics, data science, big data, data visualizations tools and techniques.
OpenCV provides a real-time optimized Computer Vision library, tools, and hardware. It also supports model execution for Machine Learning (ML) and Artificial Intelligence (AI).
Effortlessly build and scale your AI project, backed by world-class GPUs trusted by more than 500K builders.
Learn Computer Vision, Deep Learning with OpenCV, PyTorch, Keras, & Tensorflow: Code + Tutorials
Scipy Lecture Notes — Scipy lecture notes.
With just a few dozen example images, you can train a working, state-of-the-art computer vision model in less than 24 hours
Log, organize, compare, register, and share all your ML model metadata in a single place.
Dive into Deep Learning — Dive into Deep Learning 1.0.3 documentation.
Learn Data Science & AI from the comfort of your browser, at your own pace with DataCamp's video tutorials & coding challenges on R, Python, Statistics & more.
Learn Deep Learning and Artificial Intelligence
ThisPointer – Programming Tutorials.
The Python Graph Gallery displays hundreds of charts made with Python, always with explanation and reproduciible code
Home | Pythonic Perambulations.
Blog | DLology.
Learn Python online: Python tutorials for developers of all skill levels, Python books and courses, Python news, code examples, articles, and more.
Jovianlin.io is ranked number 10M in the world and links to network IP address 128.199.165.162.
Keunwoo Choi.
Journal of Machine Learning Research.
ICML 2024.
Do you want to learn Python from scratch to advanced, check out best way to learn python and machine learning from experts.
Review our step-by-step Data Science tutorials using a variety of tools, such as Python, SQL, MS Access, MS Excel, and more!