dzy's repositories
Lightweight-facial-expression-recognition
Face detection, expression recognition, model compression, terminal deployment
Brain-like-visual-object-recognition-system
SNN(spiking neural network)- soft | hard, model compression, object recognition
AI_competitions
AI比赛相关
Awesome-Interview
Collection of awesome interview references.
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
berkeley-stat-157
Homepage for STAT 157 at UC Berkeley
Deep-Learning-for-Tracking-and-Detection
Collection of papers, code and other resources for object tracking and detection using deep learning
Deep-Learning-Interview-Book
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
deep_learning_object_detection
A paper list of object detection using deep learning.
deep_sort_yolov3
Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow
DeepLearning
深度学习入门教程&&优秀文章&&Deep Learning Tutorial
DL-workshop-series
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
HyperLabelImg
开源可视化图像标注工具(支持人脸关键点/不规则四边形/多边形标注)
interview_internal_reference
2019年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
kill-the-bits
Code for: "And the bit goes down: Revisiting the quantization of neural networks"
mixed-precision-pytorch
Training with FP16 weights in PyTorch
MobileNet-YOLO
A caffe implementation of MobileNet-YOLO detection network
Object-Detection-and-Tracking
ObjectDetection Two-stage (RCNN) vs One-stage (YOLO) Detectors and YOLOv3+Deep_SORT/SORT Object Tracking
pytorch-transformers
👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)
pytorch-yolo-v3
A PyTorch implementation of the YOLO v3 object detection algorithm
pytorch_DoReFaNet
A pytorch implementation of DoReFa-Net
Pytorch_Lightweight_Network
Lightweight Networks such as MobileNet, ShuffleNet and ThunderNet implemented in Pytorch
YOLOv3-quantization-model-v1.0
YOLOv3 quantization model v10, only for quantization off-line