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ai-paper-drawer

人工智能论文关键点集结。This project aims to collect key points of AI papers.

ai_virtual_anchor

虚拟主播，是通过计算机画出来的，并不存在于这个世界上。

baiduyun_deeplearning_competition

百度云魅族深度学习应用大赛

bert

TensorFlow code and pre-trained models for BERT

brain-tokyo-workshop

🧠🗼

capsgnn

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

capsule

A Capsule Implement with Pure Keras

captcha_break

验证码识别

ccf-bdci-2021-poi-3rd-prize

CCF BDCI 2021 高德POI名称生成赛题 三等奖解决方案 （完整代码+说明）

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

cppprimer

:books: Solutions for C++ Primer 5th exercises.

crbm

Conditional RBM

crbm-dbn

An extension of Graham Taylor's Theano-based CRBM implementation.

crbm-drum-patterns

Python code to do Conditional Restricted Boltzmann machine training applied to drum pattern generation.

da-cases

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

exercises_thushv_dot_com

Here lies all the exercises I implement and share in my website

git-basic

gnnpapers

Must-read papers on graph neural networks (GNN)

harmonyos

A curated list of awesome things related to HarmonyOS. 华为鸿蒙操作系统。

harmonyos-1

鸿蒙系统资料。Docs about HarmonyOS.

imcrbm

Matlab implementation of Implicit mixtures of Conditional Restricted Boltzmann Machines.

interpy-zh

📘《Python进阶》（Intermediate Python 中文版）

lwpls

Locally-Weighted Partial Least Squares (LWPLS)

multi-task-learning-example

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

nasnet-keras

Keras implementation of NASNet-A

nlp_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

paddlevideo

Comprehensive, latest, and deployable video deep learning algorithm, including video recognition, action localization, and temporal action detection tasks. It's a high-performance, light-weight codebase provides practical models for video understanding research and application

pip

The Python package installer

pip-download

A wrapper for pip download in offline scenario.