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.vim

My vim settings

ale

Asynchronous Lint Engine

autoware

Open-source software for urban autonomous driving

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deep-text-detection-recognition

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

awesome-gcn

resources for graph convolutional networks （图卷积神经网络相关资源）

awesome-model-compression-and-acceleration

awesome-scene-text-recognition

A curated list of resources dedicated to scene text localization and recognition

bigdata

binarizewolfjolion

Document image binarization for Project 3A

bosen

SailingLab's Petuum project.

byteps

A high performance and generic framework for distributed DNN training

caffe

Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

cartoonface

chatglm-tuning

一种平价的chatgpt实现方案, 基于ChatGLM-6B + LoRA

clm-framework

CLM-framework (a.k.a Cambridge Face Tracker) is a framework for various Constrained Local Model based face tracking and landmark detection algorithms and their extensions/applications. Includes CLM-Z and CLNF.

continuous-convop

The Continuous Convolution Operator Tracker (C-COT).

cpr

C++ Requests: Curl for People, a spiritual port of Python Requests

dbscan-on-spark

An implementation of DBSCAN runing on top of Apache Spark

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deepnlp-models-pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

deepspeedexamples

Example models using DeepSpeed

diff_c

The main purpose of this project is that show the difference between different version of search engine or different engine.It also give the DCG&nDCG value to given a direct way to show the quality of the quality..

django-socketio

A Django app providing the features required to use websockets with Django via Socket.IO

dso

Direct Sparse Odometry

encaplibmemcached

using c++ encapsulat the libmemcached！

encapmysql

this

extracturl