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adamwr

Implements https://arxiv.org/abs/1711.05101 AdamW optimizer, cosine learning rate scheduler and "Cyclical Learning Rates for Training Neural Networks" https://arxiv.org/abs/1506.01186 for PyTorch framework

aster

Recognizing cropped text in natural images.

attention-ocr

Visual Attention based OCR

attention-ocr-1

A pytorch implementation of the attention based ocr

attention-ocr-chinese-version

Attention OCR Based On Tensorflow

attention_ocr.pytorch

This repository implements the the encoder and decoder model with attention model for OCR

awesome-graph-embedding

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

batch_norm_ex

Experiments with different normalization techniques

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

cgnl-network.pytorch

Compact Generalized Non-local Network (NIPS 2018)

cnn_lstm_ctc_ocr

Tensorflow-based CNN+LSTM trained with CTC-loss for OCR

cnn_lstm_ctc_tensorflow

CNN+LSTM+CTC based OCR implemented using tensorflow.

conv-ensemble-str

The code for “Attention and Language Ensemble for Scene Text Recognition with Convolutional Sequence Modeling”

crnn

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

crnn-with-stn

implement CRNN in Keras with Spatial Transformer Network

crnn.pytorch

Convolutional recurrent network in pytorch

crnn_tensorflow

Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition

cspn

Convolutional Spatial Propagation Network

ctcwordbeamsearch

Connectionist Temporal Classification (CTC) decoder with dictionary and language model for TensorFlow.

cu-net

Code for "Quantized Densely Connected U-Nets for Efficient Landmark Localization" (ECCV 2018) and "CU-Net: Coupled U-Nets" (BMVC 2018 oral)

deep-text-recognition

deformable-convolution-v2-pytorch

Deformable ConvNets V2 (DCNv2) in PyTorch

depthcomplete

Pytorch implementation of depth completion architectures (eg. SparseConv, Sparse-to-Dense)

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

drn

Dilated Residual Networks

enas-pytorch

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

fastdeepnets

fisa-vim-config

my vim configuration (lot of python, autocompletition, fuzzy finder, debugger, ...)

flappy-bird-deep-q-learning-pytorch

Deep Q-learning for playing flappy bird game