Concise Ipython Notebooks For Deep LearningIpython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
Stars: ✭ 23 (+53.33%)
PixellibVisit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
Stars: ✭ 327 (+2080%)
Keras UnetHelper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
Stars: ✭ 196 (+1206.67%)
kaggleKaggle solutions
Stars: ✭ 17 (+13.33%)
Groundbreaking-PapersML Research paper summaries, annotated papers and implementation walkthroughs
Stars: ✭ 90 (+500%)
type4pyType4Py: Deep Similarity Learning-Based Type Inference for Python
Stars: ✭ 41 (+173.33%)
VNetProstate MR Image Segmentation 2012
Stars: ✭ 54 (+260%)
dstyet another custom data science template via cookiecutter
Stars: ✭ 59 (+293.33%)
blockchain-predictorDeep leraning cryptocurrency prediction with blockchain-based dataset
Stars: ✭ 34 (+126.67%)
air writingOnline Hand Writing Recognition using BLSTM
Stars: ✭ 26 (+73.33%)
Active-Shift-TFTensorflow implementation for Active Shift Layer(ASL)
Stars: ✭ 22 (+46.67%)
XCloudOfficial Code for Paper <XCloud: Design and Implementation of AI Cloud Platform with RESTful API Service> (arXiv1912.10344)
Stars: ✭ 58 (+286.67%)
yolov5-crowdhumanHead and Person detection using yolov5. Detection from crowd.
Stars: ✭ 79 (+426.67%)
flops-cnnCalculate Flops for CNN
Stars: ✭ 37 (+146.67%)
superpixelRefinementSuperpixel-based Refinement for Object Proposal Generation (ICPR 2020)
Stars: ✭ 24 (+60%)
godpaper🐵 An AI chess-board-game framework(by many programming languages) implementations.
Stars: ✭ 40 (+166.67%)
OCROptical character recognition Using Deep Learning
Stars: ✭ 25 (+66.67%)
kuzushiji-recognitionKuzushiji Recognition Kaggle 2019. Build a DL model to transcribe ancient Kuzushiji into contemporary Japanese characters. Opening the door to a thousand years of Japanese culture.
Stars: ✭ 16 (+6.67%)
BehaviorMetricsAutonomous driving neural network comparison tool
Stars: ✭ 33 (+120%)
multi-task-defocus-deblurring-dual-pixel-nimatReference github repository for the paper "Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning". We propose a single-image deblurring network that incorporates the two sub-aperture views into a multitask framework. Specifically, we show that jointly learning to predict the two DP views from a single …
Stars: ✭ 29 (+93.33%)
MIRACLMulti-modal Image Registration And Connectivity anaLysis
Stars: ✭ 23 (+53.33%)
DeepPixelAn open-source Python package for making computer vision and image processing simpler
Stars: ✭ 21 (+40%)
Brain-MRI-SegmentationSmart India Hackathon 2019 project given by the Department of Atomic Energy
Stars: ✭ 29 (+93.33%)
MPNetMotion Planning Networks
Stars: ✭ 139 (+826.67%)
continuous BernoulliThere are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.
Stars: ✭ 22 (+46.67%)
SUIMSemantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020
Stars: ✭ 53 (+253.33%)
3-D-Scene-Graph3D scene graph generator implemented in Pytorch.
Stars: ✭ 52 (+246.67%)
DeepSegmentorA Pytorch implementation of DeepCrack and RoadNet projects.
Stars: ✭ 152 (+913.33%)
datascience-mashupIn this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.
Stars: ✭ 36 (+140%)
DeepAtlasJoint Semi-supervised Learning of Image Registration and Segmentation
Stars: ✭ 38 (+153.33%)
grydsA Python package for geometric transformations of images for data augmentation in deep learning
Stars: ✭ 55 (+266.67%)
Paddle-SEQ低代码序列数据处理框架,最短两行即可完成训练任务!
Stars: ✭ 13 (-13.33%)
tutorialsIntroduction to Deep Learning: Chainer Tutorials
Stars: ✭ 68 (+353.33%)
learning2hash.github.ioWebsite for "A survey of learning to hash for Computer Vision" https://learning2hash.github.io
Stars: ✭ 14 (-6.67%)
Digital-Image-ProcessingThis repository includes all Basic Algorithms related to image Processing, these are almost without Build-in Functions
Stars: ✭ 18 (+20%)
KerasRDeepLearning using Keras with R
Stars: ✭ 26 (+73.33%)
FastPosepytorch realtime multi person keypoint estimation
Stars: ✭ 36 (+140%)
rt-mrcnnReal time instance segmentation with Mask R-CNN, live from webcam feed.
Stars: ✭ 47 (+213.33%)
basic-image-edaA simple image dataset EDA tool (CLI / Code)
Stars: ✭ 51 (+240%)