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The official implementation of "MouseSIS: Space-Time Instance Segmentation of Mice" (ECCVW 2024)
Code for the paper "TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds"
Official Implementation of "ADOPT: Modified Adam Can Converge with Any β2 with the Optimal Rate"
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
Helpful tools and examples for working with flex-attention
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
NEural MOdelS, a statistical modeling framework for neuroscience.
A Python toolbox for analysing body movements across space and time
Schedule-Free Optimization in PyTorch
This repository contains code to download data for the preprint "MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning"
Uncertainty quantification with PyTorch
A generative AI extension for JupyterLab
TensorDict is a pytorch dedicated tensor container.
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
State of the art inference for your bayesian models.
Simple, elegant, wizarding tools for interacting with Python's dataclasses.
Visualising Laplacian Spherical Harmonics with Matplotlib's Animation Feature
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.
🚀🧠💬 Supercharged Custom Instructions for ChatGPT (non-coding) and ChatGPT Advanced Data Analysis (coding).
A Data Streaming Library for Efficient Neural Network Training
A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
Interactive 2D scatter plot widget for Jupyter Lab and Notebook. Scales to millions of points!
A system for scientific simulation-based inference at scale.
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) fo…
Making Fabio Crameri's perceptually uniform colourmaps for geosciences available on PyPI and conda-forge