zhyhy's repositories

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outlier-exposure

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

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Algorithms-and-data-structures

算法与数据结构等 - 知识荟萃 「长期更新中」【欢迎 watch,有兴趣点个 star,千万别 fork !】

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Awesome-Pruning

A curated list of neural network pruning resources.

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awesome-zero-shot-learning

A curated list of papers, code and resources pertaining to zero shot learning

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cac-openset

Code for Class Anchor Clustering loss for training a distance-based open set classifier

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Class-balanced-loss-pytorch

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

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complexPyTorch

A high-level toolbox for using complex valued neural networks in PyTorch

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Cpp_Primer_Answers

《C++ Primer》第五版中文版习题答案

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curriculum_learning

Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Weinshall (ICML 2019)

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DAFL

A Pytorch implementation of "Data-Free Learning of Student Networks" (ICCV 2019).

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dl-colab-notebooks

Try out deep learning models online on Google Colab

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fsl-global

Few-Shot Learning with Global Class Representations

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gluon-cv

Gluon CV Toolkit

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google-research

Google AI Research

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insightface

Face Analysis Project on MXNet

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IT_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍,没准你想找的书就在这里呢,包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列(常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习,深度学习等等),大数据系列(Spark,Hadoop,Scala,kafka等),程序员必修系列(C、C++、java、数据结构、linux,设计模式、数据库等等)

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KL-Loss

Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

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knowledge-distillation-papers

knowledge distillation papers

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Model-Compression-Deploy

model compression and deploy. compression: 1、quantization: quantization-aware-training, 16/8/4/2-bit(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary(twn/bnn/xnor-net); post-training-quantization, 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization folding for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

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or-tools

Google's Operations Research tools:

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pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

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QUANTAXIS

QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案

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rethinking-network-pruning

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

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spp-public

A Signal Propagation Perspective for Pruning Neural Networks at Initialization

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TPN-pytorch

Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.

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vim-init

轻量级 Vim 配置框架,全中文注释

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