Trepetsky

taichi

Productive, portable, and performant GPU programming in Python.

difftaichi

10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

torax

TORAX: Tokamak transport simulation in JAX

GraphAny

GraphAny: A foundation model for node classification on any graph.

Semisupervised-learning-and-instance-selection-methods

TFG - Semisupervised learning and instance selection methods

fuzzy-rough-learn

A library of fuzzy rough machine learning algorithms

s2cnn

Spherical CNNs

pg_ml

nbtools

Utilities for monitoring and interacting with Jupyter Notebooks

nbtools

A framework for creating user-friendly widgets and tools in Jupyter

LightAutoML

Fast and customizable framework for automatic ML model creation (AutoML)

kan-cifar10

Replace MLP with Kolmogorov-Arnold Network in CNN models and conduct experiments on CIFAR 10

vaex

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

faster_coco_eval

Continuation of an abandoned project fast-coco-eval

mofdscribe

An ecosystem for digital reticular chemistry

jaxpruner

TopoModelX

Topological Deep Learning

voc2coco

Convert VOC format XMLs to COCO format json

papers-for-molecular-design-using-DL

List of molecular design using Generative AI and Deep Learning

jraph

A Graph Neural Network Library in Jax

grok-1

Grok open release

donut

Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

PolyNet_PyTorch

Official implementation of the paper "PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation" (3DV 2021)

tutorial-2022-intro-polynomial-nets

Simple code for the tutorial on Polynomial Nets.

jax_metrics

A metrics library for the JAX ecosystem

fasterai

FasterAI: Prune and Distill your models with FastAI and PyTorch

mol2vec

Mol2vec - an unsupervised machine learning approach to learn vector representations of molecular substructures

ibm3202

Google Colab Tutorials for IBM3202

label-studio-ml-backend

Configs and boilerplates for Label Studio's Machine Learning backend

seqfold

nucleic acid folding