ytzhao Goto Github PK

cvpr2019-code

CVPR 2019 Paper with Code

datasharing

The Leek group guide to data sharing

deep-learning-traffic-lights

Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge

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，近30万字。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

deepo

A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.

denseaspp

DenseASPP for Semantic Segmentation in Street Scenes

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

didi-udacity-data-reader

DiDi-Udacity Self-Driving Car Challenge 2017 Raw Data Reader

efficientnet-pytorch

A PyTorch implementation of EfficientNet

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

erfnet_pytorch

Pytorch code for semantic segmentation using ERFNet

espnetv2

A light-weight, power efficient, and general purpose convolutional neural network

facerec

Implements face recognition algorithms for MATLAB/GNU Octave and Python.

fastai

The fastai deep learning library, plus lessons and tutorials

fb-caffe-exts

Some handy utility libraries and tools for the Caffe deep learning framework.

fitml

A collection of python Machine Learning articles and examples. You will find code related to Reinforcement Learning, Q Learning, MDP, Bellman, OpenAI solutions and others

grokking-deep-learning

this repository accompanies my forthcoming book "Grokking Deep Learning"

head-pose-estimation-and-face-landmark

head pose estimation

hrnet-semantic-segmentation

High-resolution representation learning (HRNets) for Semantic Segmentation

images

imgclsmob

Sandbox for training convolutional networks for computer vision

introtodeeplearning_labs

Lab Materials for MIT 6.S191: Introduction to Deep Learning

kaggle

Kaggle 项目实战 = 文档 + 代码 + 视频

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kitti2bag

Convert KITTI dataset to ROS bag file the easy way!

lane-lines-detection-python-opencv

Lane Lines Detection using Python and OpenCV for self-driving car

lane_detection

LD using Computer Vision

librealsense

Intel® RealSense™ SDK

lightweight-segmentation

Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).