github2016hdu Goto Github PK

adam-experiments

Experiments with Adam/AdamW/amsgrad

aihdu

A PyTorch Toolbox for Face Recognition

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

breast-imaging-deeplearning

基于深度学习的乳腺医学诊断

caffe-fast-rcnn

Caffe fork that supports Fast R-CNN

centernet

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

cocodataset.github.io

cornernet-lite

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

democaffe

detection-pytorch-notebook

代码 -《深度学习之PyTorch物体检测实战》

evolutionarygan

Evolutionary Generative Adversarial Networks (E-GAN)

example-code

Example code for the book Fluent Python

face.evolve.pytorch

🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥

face_recognition

The world's simplest facial recognition api for Python and the command line

facedetection-dsfd

facedetector-base-yolov3-spp

faceenhancement

An advanced computer vision course project

facenet

Face recognition using Tensorflow

facenet-caffe

facenet recognition and retrieve by using hnswlib and flask, convert tensorflow model to caffe

faster-rcnn-tensorflow-python3.5

Tensorflow Faster R-CNN for Windows and Python 3.5

gan_metrics-tensorflow

Simple Tensorflow implementation of metrics for GAN evaluation (Inception score, Frechet-Inception distance, Kernel-Inception distance)

git_test

try the github

git_test4jp

try the github

glomo-tensorflow

This is a tensorflow implementation of 2018 NIPS paper: [GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations.]

hatt-proto

Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification