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Code for Adam-mini: Use Fewer Learning Rates To Gain More https://arxiv.org/abs/2406.16793
Official Implementation of "A General Model for Retinal Segmentation and Quantification"
Code to generate retinal pigmentation scores from color fundus photographs datasets
Code for "Learning to Address Intra-segment Misclassification in Retinal Imaging"
[ECCV 2024 - Oral] ACE0 is a learning-based structure-from-motion approach that estimates camera parameters of sets of images by learning a multi-view consistent, implicit scene representation.
Provide function to calculate the modified Bessel function of the second kind and its derivatives.
CUDA implementation for the Modified Bessel Function of the Second Kind (BesselK) function
Optical Flow and Deep Learning Use Cases
A pytorch port of google-research/google-research/robust_loss/
A set of ready to use Agent Skills for research, science, engineering, analysis, finance and writing.
Official PyTorch implementation of the paper "Dataset Distillation with Neural Characteristic Function: A Minmax Perspective" (NCFM) in CVPR 2025 (Full Score, Highlight).
Interactive Optical Flow Estimation with Dual Memory for in vivo Microcirculation Analysis
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Simple, online, and realtime tracking of multiple objects in a video sequence.
Simple Online Realtime Tracking with a Deep Association Metric
Numpy implementation of Hilbert curves in arbitrary dimensions
maps between 1-D space filling hilbert curve and N-D coordinates
Python implementation of Remez algorithm, provides the best uniform polynomial approximation to functions based on the minimization of the maximum absolute error and the equioscillation theorem.
A small collection of Kalman Filters on Lie groups
Minimal solvers for calibrated camera pose estimation
Python tools for rendering, viewing and generating metric 3D depth videos. Tools for recovering and exporting camera pose and 3D geometry to popular formats as well as tools for projecting depthvid…
Accurate geometric camera calibration with generic camera models
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…