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jloveric's Projects

adahessian icon adahessian

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

awesome-kan icon awesome-kan

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

comfyui_segment_anything icon comfyui_segment_anything

Based on GroundingDino and SAM, use semantic strings to segment any element in an image. The comfyui version of sd-webui-segment-anything.

drl-urban-planning icon drl-urban-planning

A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities.

encoder-forest icon encoder-forest

eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding

grounded-segment-anything icon grounded-segment-anything

Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

helper icon helper

Javascript and npm module for various frequently used functions in my projects.

high-order-layers-torch icon high-order-layers-torch

High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial (Chebyshev nodes) and Fourier Series layers of arbitrary order. Piecewise implementations could be thought of as a 1d grid (for each neuron) where each grid element is Lagrange polynomial. Both full connected and convolutional layers included.

instantmesh icon instantmesh

InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

jali icon jali

A parallel unstructured mesh framework for multiphysics application

llama icon llama

Inference code for LLaMA models

luciddreamer icon luciddreamer

Official code for the paper "LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes".

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