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ai_challenger_2018 icon ai_challenger_2018

AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world. https://challenger.ai/

algorithm_interview_notes-chinese icon 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

c3d icon c3d

C3D is a modified version of BVLC caffe to support 3D ConvNets.

cs-notes icon cs-notes

:books: 技术面试必备基础知识、Leetcode 题解、后端面试、Java 面试、春招、秋招、操作系统、计算机网络、系统设计

csrnet-pytorch icon csrnet-pytorch

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

cupy icon cupy

NumPy-like API accelerated with CUDA

deeplearning-500-questions icon deeplearning-500-questions

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,近30万字。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

dehazenet icon dehazenet

DehazeNet: An End-to-End System for Single Image Haze Removal

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

image_classification_pytorch icon image_classification_pytorch

image classification using pytorch-project-template, train a model of classification easily by modifying a json configuration

models icon models

Models and examples built with TensorFlow

models-1 icon models-1

Pre-trained and Reproduced Deep Learning Models (经典复现模型)

paddlepaddle-deepspeech icon paddlepaddle-deepspeech

基于PaddlePaddle实现的语音识别,中文语音识别。项目完善,识别效果好。支持Windows,Linux下训练和预测,支持Nvidia Jetson开发板预测。

pretrained-models.pytorch icon pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

protobuf icon protobuf

Protocol Buffers - Google's data interchange format

pseudo-3d-pytorch icon pseudo-3d-pytorch

pytorch version of pseudo-3d-residual-networks(P-3D), pretrained model is supported

pymaxflow icon pymaxflow

Cython wrapper for MAXFLOW library from Boykov and Kolmogorov

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