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ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

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

alibaba-java-coding-guidelines

Gitbook for AJCG

anago

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

angel

A Flexible and Powerful Parameter Server for large-scale machine learning

api-gateway-demo-sign-python

gateway sign demo

bilstm-lan

Hierarchically-Refined Label Attention Network for Sequence Labeling

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

cnblog_vue

vue版的WebApp博客园移动端

cnn-benchmarks

Benchmarks for popular CNN models

cnn-models

ImageNet pre-trained models with batch normalization for the Caffe framework

cnn_lstm_ctc_ocr

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

coco-text

COCO-Text API http://vision.cornell.edu/se3/coco-text/

convnet-benchmarks

Easy benchmarking of all publicly accessible implementations of convnets

crnn

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

cross-domain_ner

Cross-domain NER using cross-domain language modeling, code for ACL 2019 paper

ctpn

Detecting Text in Natural Image with Connectionist Text Proposal Network

dataprocess

deeplearing-interview-awesome-2024

AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目

deeplearningbook-chinese

Deep Learning Book Chinese Translation

easyocr

Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai

faceboxes

faceboxes-tensorflow

fast-rcnn

Fast R-CNN

fastext

Efficient Unconstrained Scene Text Detector

fastmaskrcnn

Mask RCNN in TensorFlow

fcn

Chainer Implementation of Fully Convolutional Networks.

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)