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acme.sh

A pure Unix shell script implementing ACME client protocol

adv_xml

affinitybasedmattingtoolbox

A collection of common affinity-based image matting and matte refinement algorithms.

apollo

An open autonomous driving platform

architect-awesome

后端架构师技术图谱

atlassian-agent

Atlassian's productions crack.

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-python-books

如果有人让你推荐 Python 技术书，请让他看这个列表

base

bayesian-matting

bazel

a fast, scalable, multi-language and extensible build system

bignum

large precision decimal implementation

blog

build-your-own-x

🤓 Build your own (insert technology here)

capo

C++标准库的轻量级拓展.

casper

The default personal blogging theme for Ghost

chromium-vim

Vim bindings for Google Chrome.

closed-form-matting

Python implementation of A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York

cn-deep-learning

https://cn.udacity.com/course/deep-learning-nanodegree-foundation--nd101/

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

config

coursera-dl

Script for downloading Coursera.org videos and naming them.

cpp-httplib

A C++ header-only HTTP/HTTPS server and client library

cpp-ipc

C++ IPC Library: A high-performance inter-process communication using shared memory on Linux/Windows.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-image-matting

This is tensorflow implementation for paper "Deep Image Matting"

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-residual-networks

Deep Residual Learning for Image Recognition

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow

deoplete.nvim

:stars: Dark powered asynchronous completion framework for neovim/Vim8