whrenstone's repositories
awesome-yolo-object-detection
🔥🔥🔥 A collection of some awesome public YOLO object detection series projects.
nmc-map-matcher
Map matching Python code for projecting GTFS, GPS tracks, etc. onto an underlying node-link map
Drone-Image-Stitching
Image Stitching tool for UAV captured Images
30-seconds-of-python-code
Python implementation of 30-seconds-of-code
CS291K
🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models
imgaug
Image augmentation for machine learning experiments.
tensorflow
Computation using data flow graphs for scalable machine learning
Labelbox
The most versatile labeling tool for machine learning
PowerShellPracticeAndStyle
The Unofficial PowerShell Best Practices and Style Guide
speech
A PyTorch Implementation of End-to-End Models for Speech-to-Text
Dataset_to_VOC_converter
Scripts to convert datasets (Caltech pedestrian, MS COCO, HDA) to PASCAL VOC format
chainer
A flexible framework of neural networks for deep learning
models
Models and examples built with TensorFlow
blockchain
区块链 - 中文资源
bash-guide
A guide to learn bash
pygta5
Explorations of Using Python to play Grand Theft Auto 5.
deepnlp
Deep Learning NLP Pipeline implemented on Tensorflow
LabelMeAnnotationTool
Source code for the LabelMe annotation tool.
AlphaZero_Gomoku
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
labelImg
:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
ocropy
Python-based tools for document analysis and OCR
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
Pytorch_Mask_RCNN
Converted from [tf+keras version MASK-RCNN](https://github.com/matterport/Mask_RCNN)
show-attend-and-tell
TensorFlow Implementation of "Show, Attend and Tell"
30-seconds-of-code
Curated collection of useful Javascript snippets that you can understand in 30 seconds or less.
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
serving
A flexible, high-performance serving system for machine learning models
keras-multiprocess-image-data-generator
Accelerating Deep Learning with Multiprocess Image Augmentation in Keras
densecap-tensorflow
Re-implement CVPR2017 paper: "dense captioning with joint inference and visual context" and minor changes in Tensorflow. (mAP 6.509 after 1 epoch of training)