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whix's Projects

adversarial icon adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

alexnet icon alexnet

Unofficial Pytorch implementation of the paper 'ImageNet Classification with Deep Convolutional Neural Networks' experiment on CIFAR-10

alphatree-graphic-deep-neural-network icon alphatree-graphic-deep-neural-network

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱

c-plus-plus icon c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

cuhnsw icon cuhnsw

CUDA implementation of Hierarchical Navigable Small World Graph algorithm

d3 icon d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

dccw icon dccw

Dynamic closest color warping (DCCW) to measure the similarity between palettes by sorting palette colors and comparing the overall color flow.

dgcn icon dgcn

Dual Graph Convolution Networks

dlwpt-code icon dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

ganhacks icon ganhacks

starter from "How to Train a GAN?" at NIPS2016

ganns icon ganns

Article: GPU-accelerated Proximity Graph Approximate Nearest Neighbor Search and Construction by Authors Yuanhang Yu, Dong Wen, Ying Zhang, Lu Qin, Wenjie Zhang and Xuemin Lin

gans icon gans

Generative Adversarial Networks implemented in PyTorch and Tensorflow

gat icon gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gbnns_theory icon gbnns_theory

Code for ICML2020 paper: ''Graph-based Nearest Neighbor Search: From Practice to Theory''

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

github-chinese-top-charts icon github-chinese-top-charts

:cn: GitHub中文排行榜,各语言分设「软件 | 资料」榜单,精准定位中文好项目。各取所需,高效学习。

graphsage icon graphsage

Representation learning on large graphs using stochastic graph convolutions.

hnswlib icon hnswlib

Header-only C++/python library for fast approximate nearest neighbors

hub icon hub

A library for transfer learning by reusing parts of TensorFlow models.

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