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ds-cheatsheets

List of Data Science Cheatsheets to rule the world

dupsampling

This repo is an unofficial pytorch implementation of CVPR2019 paper: Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

examples

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

external-attention-pytorch

Pytorch implementation of various Attention Mechanism

fast-style-transfer

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

fastai

The fastai deep learning library, plus lessons and tutorials

fastphotostyle

Style transfer, deep learning, feature transform

fastspeech2

An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

ffjord

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

fixres

This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

galerkin-transformer

[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax

gan-compression

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

gluon-cv

Gluon CV Toolkit

gn-exp

Anonymous Repository for ICML LRG Workshop: On Explainability Techniques for Graph Convolutional Networks

graphrnn

Codes for the paper "Learning Graph-Level Representations with Gated Recurrent Neural Networks"

ho-resnet

A ResBlock Library using various High Order Numerical Schemes

imagebinarydataset

imvoxelnet

ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection

interview_internal_reference

2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

interviews.ai

It is my belief that you the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

joint-vae

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:

k-gnn

Source code for AAAI subimssion #3463.

kaggle-aptos2019-blindness-detection

11th place solution for APTOS 2019 Blindness Detection on Kaggle (https://www.kaggle.com/c/aptos2019-blindness-detection).

keras_odenet

Implementation of (2018) Neural Ordinary Differential Equations in Keras

labelimg

Connect the original software to the database, and then directly add label to the image after installing the software.

latent_ode

Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

learnpython

以撸代码的形式学习Python