shhn1

A high-throughput and memory-efficient inference and serving engine for LLMs

Train speculative decoding models effortlessly and port them smoothly to SGLang serving.

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

CUDA Templates for Linear Algebra Subroutines

搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。

Essential C++ 学习笔记

OpenMMLab Detection Toolbox and Benchmark

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3.41% and 17.11% error on CIFAR-10 and CIFAR-100

Pytorch实践简单， 方便， 快速训练 图像分类模型

use pytorch to do image classfiication tasks

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

Cross-Modal Retrieval, triplet loss, Pytorch, Resnet18, Bert, Deep Hashing

use torchvision models ResNet18 to implement Kaggle's dogs vs. cats task

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my MINE implementation [DV, fGAN, infoNCE]

Fine-Grained Cross-Modal Retrieval based on generative and adversarial network

Source code of our IEEE TCYB 2018 paper "MHTN: Modal-adversarial Hybrid Transfer Network for Cross-modal Retrieval"

A MNIST-like fashion product database. Benchmark :point_right:

basic modal for cross-modal-retrieval

reproduce the results of Adversarial Cross-Modal retrieval (ACMR)

An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.

Provide preprocessed labels of NUS-WIDE dataset in numpy format

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Deep Multiset Canonical Correlation Analysis - An extension of CCA to multiple datasets

Generalized Canonical Correlation Analysis

Regularized kernel canonical correlation analysis in Python

Python implementation of Kernel Canonical Correlation Analysis

This repository has the code for the Canonical Correlation and its Variants : found at the paper "Cluster Canonical Correlation Analysis"

Self-supervised learning of visual features through embedding images into text topic spaces

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Python code for the cross-modal retrieval system proposed at ACM MM '10 in "A New Approach to Cross-Modal Multimedia Retrieval"

Have you ever wondered where the Good or Featured articles are on the English, French, Spanish, or German Wikipedias?

Canonical Correlation Analysis for joint representations of images and tags

Some games created by python code.

A collection of useful .gitignore templates

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