Paperswithcode Alternativas & Concorrentes
Papers With Code highlights trending Machine Learning research and the code to implement it.
Alternativas e concorrentes para paperswithcode.com em termos de conteúdo, tráfego e estrutura
The Computer Vision Foundation – A non-profit organization that fosters and supports research in all aspects of computer vision.
An open source machine learning framework that accelerates the path from research prototyping to production deployment.
Promoting openness in scientific communication and the peer-review process
NeurIPS 2024.
ACL Anthology - ACL Anthology.
NeurIPS 2024.
Why NumPy? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant. Open source.
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.
Keras documentation
AAAI advances the understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines.
ACL Member Portal | The Association for Computational Linguistics Member Portal.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Journal of Machine Learning Research.
ICML 2024.
Helping developers, students, and researchers master Computer Vision, Deep Learning, and OpenCV.
Making developers awesome at machine learning.
Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.
Accelerate AI training, power complex simulations, and render faster with NVIDIA H100 GPUs on Paperspace. Easy setup, cost-effective cloud compute.
Course materials and notes for Stanford class CS231n: Convolutional Neural Networks for Visual Recognition.
Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.
Faroit.
Scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation.
Matplotlib — Visualization with Python.
Code faster with Kite’s AI-powered autocomplete plugin for over 16 programming languages and 16 IDEs, featuring Multi-Line Completions. Works 100% locally.
PyData |.
Welcome to IJCAI | IJCAI.
Weights & Biases, developer tools for machine learning
ICLR 2024.
Your home for data science. A Medium publication sharing concepts, ideas and codes.
Site not found · GitHub Pages.
Project Euclid
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).
Scipy Lecture Notes — Scipy lecture notes.
Dive into Deep Learning — Dive into Deep Learning 1.0.3 documentation.
Learn Computer Vision, Deep Learning with OpenCV, PyTorch, Keras, & Tensorflow: Code + Tutorials
Home | Pythonic Perambulations.
Log, organize, compare, register, and share all your ML model metadata in a single place.
Learn Deep Learning and Artificial Intelligence
With just a few dozen example images, you can train a working, state-of-the-art computer vision model in less than 24 hours
Effortlessly build and scale your AI project, backed by world-class GPUs trusted by more than 500K builders.
The Python Graph Gallery displays hundreds of charts made with Python, always with explanation and reproduciible code
Review our step-by-step Data Science tutorials using a variety of tools, such as Python, SQL, MS Access, MS Excel, and more!
ThisPointer – Programming Tutorials.
Learn Python online: Python tutorials for developers of all skill levels, Python books and courses, Python news, code examples, articles, and more.
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.