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examples-1

TensorFlow examples

face-recognition

Repository for face recognition related work

face-to-height-weight-bmi-estimation-

face_detect_n_track

Fast and robust face detection and tracking

facetracker

Real time deformable face tracking in C++ with OpenCV 3.

fairseq-zh-en

NMT for chinese-english using fairseq

fast_abs_rl

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

fasttext

Library for fast text representation and classification.

fasttext_goodsclassifier

fasttext 商品类目三层分类

fdsst_cpp

C++ re-implementation of fast Discriminative Scale Space Tracking.

goturn-files

Model files for GOTURN tracker

hed-dlg-truncated

Hierarchical Encoder Decoder RNN (HRED) with Truncated Backpropagation Through Time (Truncated BPTT)

hellolucene

Mavenized version of Kelvin Tan's example (http://www.lucenetutorial.com/lucene-in-5-minutes.html)

helloworld

This is a HelloWorld

imgaug

Image augmentation for machine learning experiments.

kaggle-quora-question-pairs

Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)

keras-io

Keras documentation, hosted live at keras.io

keras-retinanet

Keras implementation of RetinaNet object detection.

kitti_object_vis

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

learnopencv

Learn OpenCV : C++ and Python Examples

library

个人书籍目录，别 fork 了，里面没有书籍文件😱

lstm

machine-translation

中英机器文本翻译

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

mta-lstm

The code and data of <Topic-to-Essay Generation with Neural Networks>

mtlnas

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

multeval

Easy Bootstrap Resampling and Approximate Randomization for BLEU, METEOR, and TER using Multiple Optimizer Runs. This implements "Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability" from ACL 2011.

multiffn-nli

Implementation of the multi feed-forward network architecture by Parikh et al. (2016) for Natural Language Inference.