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effnet

EffNet: AN EFFICIENT STRUCTURE FOR CONVOLUTIONAL NEURAL NETWORKS

efgrnet

Enriched Feature Guided Refinement Network for Detection，ICCV2019.

ehcf

This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering

einops

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

elasticdl

Kubernetes-native Deep Learning Framework

elasticsearch

Elastic Search Code

election2016

Clinton and Trump may have used some Machine Learning

electra

中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model

electra-1

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

electrocardio-panorama

The codes of paper "Electrocardio Panorama: Synthesizing New ECG views with Self-supervision"

elegant-scipy

1st Edition of Elegant SciPy (O'Reilly Publishers)

elegantrl

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

elf

An End-To-End, Lightweight and Flexible Platform for Game Research

eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

elite_citations

Data and code for paper on concentration and inequality of per-author citation distributions by Mathias W. Nielsen & Jens Peter Andersen

elliot

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

elsa

The official implementation of ELSA: Enhanced Local Self-Attention for Vision Transformer

emanet

The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

embedkgqa

ACL 2020: Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings

emdqn

Code for paper "Episodic Memory Deep Q-Networks" (https://arxiv.org/abs/1805.07603), IJCAI 2018

emface

emnlp2017-bilstm-cnn-crf

BiLSTM-CNN-CRF architecture for sequence tagging

emojipackage

表情包资源合集

emotion-detection

enaet

EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning

enas

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

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

encoder2predict

利用Encoder对二分类任务的序列数据进行概率预测

encoding-word-order-in-complex-valued-embedding

The code of Encoding Word Order in Complex-valued Embedding

end-to-end-for-chinese-plate-recognition

基于u-net，cv2以及cnn的中文车牌定位，矫正和端到端识别软件，其中unet和cv2用于车牌定位和矫正，cnn进行车牌识别，unet和cnn都是基于tensorflow的keras实现