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CMC MSU
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Lightning fast C++/CUDA neural network framework
This code implements a Radial Basis Function (RBF) based Kolmogorov-Arnold Network (KAN) for function approximation.
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Code accompanying manuscript "Functional Tensor Decompositions for Physics-Informed Neural Networks"
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…
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Advanced Code and Text Manipulation Prompts for Various LLMs. Suitable for Deepseek, GPT o1, Claude, Llama3, Gemini, and other high-performance open-source LLMs.
FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)
Code for the MIDL 2022 paper Implicit Neural Representations for Deformable Image Registration
[AAAI2025] UniDet3D: Multi-dataset Indoor 3D Object Detection
😎 A list of awesome scene understanding papers.
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 N…
X-KANeRF [KANeRF-benchmarking]: KAN based NeRF with various basis functions like B-Splines, Fourier, Gaussians, Wavelets, Polynomials, etc
PyTorch implementation of PointCNN model specified in the white paper located here: https://arxiv.org/pdf/1801.07791.pdf
Graph Neural Network Library for PyTorch
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, and backpropagation.
All Algorithms implemented in Python
Patches the torch.save function with arbitrary code that gets executed upon torch.load.
My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow