Toronto Alternatives & Competitors
The University of Toronto is a globally top-ranked public research university in Toronto, Ontario, Canada.
Alternatives & competitors to toronto.edu in terms of content, traffic and structure
Promoting openness in scientific communication and the peer-review process
NeurIPS 2024.
The Computer Vision Foundation – A non-profit organization that fosters and supports research in all aspects of computer vision.
Papers With Code highlights trending Machine Learning research and the code to implement it.
An open source machine learning framework that accelerates the path from research prototyping to production deployment.
NeurIPS 2024.
ACL Anthology - ACL Anthology.
AAAI advances the understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines.
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.
Keras documentation
Fast.ai – fast.ai—Making neural nets uncool again.
Journal of Machine Learning Research.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
ACL Member Portal | The Association for Computational Linguistics Member Portal.
Welcome to IJCAI | IJCAI.
Accelerate AI training, power complex simulations, and render faster with NVIDIA H100 GPUs on Paperspace. Easy setup, cost-effective cloud compute.
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.
Course materials and notes for Stanford class CS231n: Convolutional Neural Networks for Visual Recognition.
Code faster with Kite’s AI-powered autocomplete plugin for over 16 programming languages and 16 IDEs, featuring Multi-Line Completions. Works 100% locally.
Scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation.
Matplotlib — Visualization with Python.
Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.
PyData |.
Weights & Biases, developer tools for machine learning
Site not found · GitHub Pages.
Project Euclid
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.
Effortlessly build and scale your AI project, backed by world-class GPUs trusted by more than 500K builders.
Scipy Lecture Notes — Scipy lecture notes.
Learn Computer Vision, Deep Learning with OpenCV, PyTorch, Keras, & Tensorflow: Code + Tutorials
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).
Your home for data science. A Medium publication sharing concepts, ideas and codes.
The Python Graph Gallery displays hundreds of charts made with Python, always with explanation and reproduciible code
Dive into Deep Learning — Dive into Deep Learning 1.0.3 documentation.
Review our step-by-step Data Science tutorials using a variety of tools, such as Python, SQL, MS Access, MS Excel, and more!
Home | Pythonic Perambulations.
ThisPointer – Programming Tutorials.
Learn Deep Learning and Artificial Intelligence
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.