Have Fun With Machine LearningAn absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Stars: ✭ 4,912 (+143.29%)
Drl papernotesNotes and comments about Deep Reinforcement Learning papers
Stars: ✭ 65 (-96.78%)
FishnetImplementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018
Stars: ✭ 533 (-73.6%)
Papers We LovePapers from the computer science community to read and discuss.
Stars: ✭ 50,845 (+2418.33%)
Random ErasingRandom Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
Stars: ✭ 511 (-74.69%)
Global Self Attention NetworkA Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks
Stars: ✭ 64 (-96.83%)
Code Switching PapersA curated list of research papers and resources on code-switching
Stars: ✭ 122 (-93.96%)
PbaEfficient Learning of Augmentation Policy Schedules
Stars: ✭ 461 (-77.17%)
RostensorflowTensorFlow ImageNet demo using ROS sensor_msgs/Image
Stars: ✭ 59 (-97.08%)
SeefoodInspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes
Stars: ✭ 445 (-77.96%)
Neural Backed Decision TreesMaking decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
Stars: ✭ 411 (-79.64%)
ImagenetTrial on kaggle imagenet object localization by yolo v3 in google cloud
Stars: ✭ 56 (-97.23%)
Mxnet.sharp.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/
Stars: ✭ 134 (-93.36%)
Awesome VqaVisual Q&A reading list
Stars: ✭ 403 (-80.04%)
MishOfficial Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Stars: ✭ 1,072 (-46.9%)
Pytorch classification利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码
Stars: ✭ 395 (-80.44%)
RmdlRMDL: Random Multimodel Deep Learning for Classification
Stars: ✭ 375 (-81.43%)
Codar✅ CODAR is a Framework built using PyTorch to analyze post (Text+Media) and predict Cyber Bullying and offensive content. 💬📷
Stars: ✭ 52 (-97.42%)
Awesome Image Colorization📚 A collection of Deep Learning based Image Colorization and Video Colorization papers.
Stars: ✭ 370 (-81.67%)
SianetAn easy to use C# deep learning library with CUDA/OpenCL support
Stars: ✭ 353 (-82.52%)
Alpha poolingCode for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.
Stars: ✭ 51 (-97.47%)
BrevitasBrevitas: quantization-aware training in PyTorch
Stars: ✭ 343 (-83.01%)
MultidigitmnistCombine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning
Stars: ✭ 48 (-97.62%)
Rectlabel SupportRectLabel - An image annotation tool to label images for bounding box object detection and segmentation.
Stars: ✭ 338 (-83.26%)
Face recognition🍎 My own face recognition with deep neural networks.
Stars: ✭ 328 (-83.75%)
EfficientnasTowards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906
Stars: ✭ 44 (-97.82%)
Involution[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
Stars: ✭ 252 (-87.52%)
Tta wrapperTest Time image Augmentation (TTA) wrapper for Keras model.
Stars: ✭ 98 (-95.15%)
Lightnet🌓 Bringing pjreddie's DarkNet out of the shadows #yolo
Stars: ✭ 322 (-84.05%)
Hardhat DetectorA convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.
Stars: ✭ 41 (-97.97%)
DartsDifferentiable architecture search for convolutional and recurrent networks
Stars: ✭ 3,463 (+71.52%)
AmlaAutoML frAmework for Neural Networks
Stars: ✭ 119 (-94.11%)
DuckgooseUtils for fast.ai course
Stars: ✭ 38 (-98.12%)
Ad PapersPapers on Computational Advertising
Stars: ✭ 3,515 (+74.1%)
Ml ClassifierA tool for quickly training image classifiers in the browser
Stars: ✭ 97 (-95.2%)
Stagesepxdetect stages in video automatically
Stars: ✭ 293 (-85.49%)
AlbumentationsFast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Stars: ✭ 9,353 (+363.25%)
Deep Learning PapersPapers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
Stars: ✭ 3,054 (+51.26%)
DeepmodelsTensorFlow Implementation of state-of-the-art models since 2012
Stars: ✭ 33 (-98.37%)
Awesome Computer Vision ModelsA list of popular deep learning models related to classification, segmentation and detection problems
Stars: ✭ 278 (-86.23%)
Fast AutoaugmentOfficial Implementation of 'Fast AutoAugment' in PyTorch.
Stars: ✭ 1,297 (-35.76%)
CvatPowerful and efficient Computer Vision Annotation Tool (CVAT)
Stars: ✭ 6,557 (+224.76%)
Tfclassify UnityAn example of using Tensorflow with Unity for image classification and object detection.
Stars: ✭ 140 (-93.07%)
Remo Python🐰 Python lib for remo - the app for annotations and images management in Computer Vision
Stars: ✭ 138 (-93.16%)
Robot Grasp DetectionDetecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.
Stars: ✭ 134 (-93.36%)
Pytorch classifiersAlmost any Image classification problem using pytorch
Stars: ✭ 122 (-93.96%)
LambdanetworksImplementing Lambda Networks using Pytorch
Stars: ✭ 107 (-94.7%)