jgraving

jgraving's Stars

• ml-explore/mlx

  MLX: An array framework for Apple silicon

  Language:C++15k137430856

• spdustin/ChatGPT-AutoExpert

  🚀🧠💬 Supercharged Custom Instructions for ChatGPT (non-coding) and ChatGPT Advanced Data Analysis (coding).

  Language:JavaScript6.5k8532446

• marimo-team/marimo

  A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

  Language:Python4.8k22353136

• jupyterlab/jupyter-ai

  A generative AI extension for JupyterLab

  Language:Python2.9k37413292

• z-x-yang/Segment-and-Track-Anything

  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) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

  Language:Jupyter Notebook2.5k50138310

• omnilib/aiomultiprocess

  Take a modern Python codebase to the next level of performance.

  Language:Python1.7k266797

• keras-team/keras-core

  A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.

  Language:Python1.3k27172114

• MedMNIST/MedMNIST

  [pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

  Language:Python9871550155

• mosaicml/streaming

  A Data Streaming Library for Efficient Neural Network Training

  Language:Python97719131121

• pymc-labs/CausalPy

  A Python package for causal inference in quasi-experimental settings

  Language:Python8132219149

• rgerum/pylustrator

  Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have different formats and shapes, the visualisations often have to be adapted to reflect the data as well as possible. We developed Pylustrator, an interface to directly edit python generated matplotlib graphs to finalize them for publication. Therefore, subplots can be resized and dragged around by the mouse, text and annotations can be added. The changes can be saved to the initial plot file as python code.

  Language:Python702145337

• aloctavodia/BAP

  Bayesian Analysis with Python (Second Edition)

  Language:Jupyter Notebook6282754249

• pytorch/tensordict

  TensorDict is a pytorch dedicated tensor container.

  Language:Python607288754

• aleximmer/Laplace

  Laplace approximations for Deep Learning.

  Language:Python422911958

• ponnhide/patchworklib

  Patchwork for matplotlib: A subplot manager for intuitive layouts in matplotlib, seaborn, and plotnine.

  Language:Jupyter Notebook34974423

• joshspeagle/dynesty

  Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

  Language:Python3341931673

• flekschas/jupyter-scatter

  Interactive 2D scatter plot widget for Jupyter Lab and Notebook. Scales to millions of points!

  Language:Python30284412

• torchmd/torchmd-net

  Neural network potentials

  Language:Python2841110367

• google-deepmind/synjax

  Language:Python23512114

• normal-computing/posteriors

  Uncertainty quantification with PyTorch

  Language:Python23352310

• jax-ml/oryx

  Oryx is a library for probabilistic programming and deep learning built on top of Jax.

  Language:Python19610179

• undark-lab/swyft

  A system for scientific simulation-based inference at scale.

  Language:Jupyter Notebook152118613

• rnag/dataclass-wizard

  A simple, yet elegant, set of wizarding tools for interacting with Python dataclasses.

  Language:Python15123916

• callumrollo/cmcrameri

  Making Fabio Crameri's perceptually uniform colourmaps for geosciences available on PyPI and conda-forge

  Language:Python11861210

• thjashin/multires-conv

  Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)

  Language:Python118642

• jax-ml/bayeux

  State of the art inference for your bayesian models.

  Language:Python101354

• arsedler9/lfads-torch

  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.

  Language:Jupyter Notebook657512

• amanchokshi/spherical-harmonics

  Visualising Laplacian Spherical Harmonics with Matplotlib's Animation Feature

  Language:Jupyter Notebook31102

• vishalned/MMEarth-data

  This repository contains code to download data for the preprint "MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning"

  Language:Python22

• talmolab/sleap-io

  Standalone utilities for SLEAP pose tracking data.

  Language:Python113277