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A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. All in a modern, AI-native editor.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
A Python-embedded modeling language for convex optimization problems.
Eliot: the logging system that tells you *why* it happened
nanobind: tiny and efficient C++/Python bindings
Pytorch to Keras/Tensorflow/TFLite conversion made intuitive
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
Visualize streams of multimodal data. Free, fast, easy to use, and simple to integrate. Built in Rust.
⏩ Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.
A simple presentation of the KKT conditions and duality theory together with a coded example on the method of multipliers
Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)
Refine high-quality datasets and visual AI models
OpenMMLab Pose Estimation Toolbox and Benchmark.
A playbook for systematically maximizing the performance of deep learning models.
Project for <SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation> (ECCV 2022)
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing d…
[TPAMI'23] Unifying Flow, Stereo and Depth Estimation
All Algorithms implemented in Python
Neural Networks: Zero to Hero
Windows system utilities to maximize productivity
Your new Mentor for Data Science E-Learning.
A collection of source code for computing in the fields of mathematics, geometry, graphics, image analysis and physics.
Template-based implementation of RANSAC and its variants in C++