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Type: User
Company: Sno Valley Ai
Bio: Computational Engineer
Location: Snoqualmie Washington
Type: User
Company: Sno Valley Ai
Bio: Computational Engineer
Location: Snoqualmie Washington
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
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.
Based on GroundingDino and SAM, use semantic strings to segment any element in an image. The comfyui version of sd-webui-segment-anything.
stable diffusion from main repo
Pure python implementation of deep nearest neighbor
Organize things given constraints using transformers
Experiments in NN diffusion models
A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities.
eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding
forward forward algorithm
Graph Stacked Generalization. Stacked generalization including stacking convolutional type learners.
Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Gutenberg cache and query library
Javascript and npm module for various frequently used functions in my projects.
Experiments in generative music
Implicit representation of various things using PyTorch and high order layers
Tensorflow layers using piecewise Lagrange polynomials and Fourier series.
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.
Attempt at high order resnets
Attempt to parameterize objects in images so they can be used in ML
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
A parallel unstructured mesh framework for multiphysics application
UI for github
Using Langroid's Multi-Agent Framework to Build LLM Apps
Experiments in language interpolation with high order sparse neural networks
Inference code for LLaMA models
Official code for the paper "LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes".
Implementation n-dimensional mamba
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.