Aclanthology Alternatives & Competitors
ACL Anthology - ACL Anthology.
Alternatives & competitors to aclanthology.org in terms of content, traffic and structure
Papers With Code highlights trending Machine Learning research and the code to implement it.
Promoting openness in scientific communication and the peer-review process
NeurIPS 2024.
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.
An open source machine learning framework that accelerates the path from research prototyping to production deployment.
The Computer Vision Foundation – A non-profit organization that fosters and supports research in all aspects of computer vision.
NeurIPS 2024.
AAAI advances the understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines.
Weights & Biases, developer tools for machine learning
An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.
Why NumPy? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant. Open source.
Fast.ai – fast.ai—Making neural nets uncool again.
Keras documentation
Journal of Machine Learning Research.
The all-in-one platform for AI development. Code together. Prototype. Train. Scale. Serve. From your browser - with zero setup. From the creators of PyTorch Lightning.
Welcome to IJCAI | IJCAI.
Log, organize, compare, register, and share all your ML model metadata in a single place.
Pytorch-lightning.readthedocs.io is ranked number 10M in the world.
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.
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.
PyData |.
Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.
Project Euclid
Site not found · GitHub Pages.
Faroit.
Scale your compute-intensive Python workloads. From reinforcement learning to large-scale model serving, Ray makes the power of distributed compute easy and accessible to every engineer.
Spell.ml is ranked number 10M in the world.
Site not found · GitHub Pages.
Your home for data science. A Medium publication sharing concepts, ideas and codes.
Analytics India Magazine chronicles technological progress in the space of analytics, artificial intelligence, data science & big data in India
Analytics Vidhya - Learn Machine learning, artificial intelligence, business analytics, data science, big data, data visualizations tools and techniques.
Scipy Lecture Notes — Scipy lecture notes.
Dive into Deep Learning — Dive into Deep Learning 1.0.3 documentation.
Learn Deep Learning and Artificial Intelligence
Learn Computer Vision, Deep Learning with OpenCV, PyTorch, Keras, & Tensorflow: Code + Tutorials
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.
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).