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chatgpt-next-web

A well-designed cross-platform ChatGPT UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT 应用。

code_dl_course

consistent_normals_orientation

Implementation of two algorithms for consistent propagation of normals orientation in points clouds.

cuda

GPU-accelerated LIBSVM is a modification of the original LIBSVM that exploits the CUDA framework to significantly reduce processing time while producing identical results. The functionality and interface of LIBSVM remains the same. The modifications were done in the kernel computation, that is now performed using the GPU.

deep_learning_course

Course given in University of Amsterdam and the sample code

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

docs-interview

Euro clothing style

ict

High-Fidelity Pluralistic Image Completion with Transformers (ICCV 2021)

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

paper-variable-importances-nips2013

Repository for the paper "Understanding variable importances in forests of randomized trees"

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

pytorch-generative

Easy generative modeling in PyTorch.

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

scikit-learn

scikit-learn: machine learning in Python

seeds-revised

Implementation of the superpixel algorithm called SEEDS [1].

so-net

SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018

splatnet

SPLATNet: Sparse Lattice Networks for Point Cloud Processing (CVPR2018)

superpixel-benchmark

An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.

superpixels-revisited

Library containing 7 state-of-the-art superpixel algorithms with a total of 9 implementations used for evaluation purposes in [1] utilizing an extended version of the Berkeley Segmentation Benchmark.

tensorflow

Computation using data flow graphs for scalable machine learning