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ai-surveys

整理AI相关领域的一些综述

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

alphafold

Open source code for AlphaFold.

alphafold2

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

arcfacedemo_liveness_cpp

基于原Demo添加了活体检测

asff

yolov3 with mobilenet v2 and ASFF

awesome-ncnn

😎 A Collection of Awesome NCNN-based Projects

beautymaster

We hope to train VLM to be a beauty master to help you solve the problem of dressing and beauty.

c_code

caffe-int8-convert-tools

Generate a quantization parameter file for ncnn framework int8 inference

caffe-model

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

catkin_simple

catkin, simpler

cdcn

Central Difference Convolutional Networks

centerloss2mnist

centernet

Object detection, 3D detection, and pose estimation using center point detection:

chatbuddy

We use InternLM2-chat model to provide a fun oral English practice for children.

cmake_external_project_catkin

macros that help to make ExternalProject dependencies install and build correctly when used with catkin devel and install locations

cream

[NeurIPS'20] Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

darknet2caffe

Convert darknet weights to caffemodel

darkrank

data-structures-and-algorithms

dbow2_catkin

decoupled-low-light-image-enhancement

TensorFlow implementation of the algorithm in the paper "Decoupled Low-light Image Enhancement"

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

delibnet

disparity_image_proc

Contains package that allows converting ROS disparity images to depth images.

droid-slam

dxslam

easyquant

EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations.