Bert language understandingPre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
Stars: ✭ 933 (-14.87%)
Eeg classificationEEG Sleep stage classification using CNN with Keras
Stars: ✭ 54 (-95.07%)
DigitrecognizerJava Convolutional Neural Network example for Hand Writing Digit Recognition
Stars: ✭ 23 (-97.9%)
Hardhat DetectorA convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.
Stars: ✭ 41 (-96.26%)
Spacy Transformers🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
Stars: ✭ 919 (-16.15%)
SegmentationcppA c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
Stars: ✭ 49 (-95.53%)
All Classifiers 2019A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
Stars: ✭ 22 (-97.99%)
Deep Visual Attention PredictionKeras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.
Stars: ✭ 19 (-98.27%)
Data Science Bowl 2018End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle
Stars: ✭ 56 (-94.89%)
DmsmsgrcgA photo OCR project aims to output DMS messages contained in sign structure images.
Stars: ✭ 18 (-98.36%)
GraphroleAutomatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)
Stars: ✭ 38 (-96.53%)
Build OcrBuild an OCR for iOS apps
Stars: ✭ 17 (-98.45%)
Image CaptioningImage Captioning: Implementing the Neural Image Caption Generator with python
Stars: ✭ 52 (-95.26%)
XnnpackHigh-efficiency floating-point neural network inference operators for mobile, server, and Web
Stars: ✭ 808 (-26.28%)
ImagenetTrial on kaggle imagenet object localization by yolo v3 in google cloud
Stars: ✭ 56 (-94.89%)
DensedepthHigh Quality Monocular Depth Estimation via Transfer Learning
Stars: ✭ 963 (-12.14%)
Keras SincnetKeras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)
Stars: ✭ 47 (-95.71%)
Image Text Localization RecognitionA general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約
Stars: ✭ 788 (-28.1%)
DeepmodelsTensorFlow Implementation of state-of-the-art models since 2012
Stars: ✭ 33 (-96.99%)
Pytorch BayesiancnnBayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Stars: ✭ 779 (-28.92%)
Convisualize nbVisualisations for Convolutional Neural Networks in Pytorch
Stars: ✭ 57 (-94.8%)
Tf cnnvisCNN visualization tool in TensorFlow
Stars: ✭ 769 (-29.84%)
SincnetSincNet is a neural architecture for efficiently processing raw audio samples.
Stars: ✭ 764 (-30.29%)
Machine Learning Curriculum💻 Make machines learn so that you don't have to struggle to program them; The ultimate list
Stars: ✭ 761 (-30.57%)
MeshcnnConvolutional Neural Network for 3D meshes in PyTorch
Stars: ✭ 1,032 (-5.84%)
Pathology Images Analysis Using CnnScripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area
Stars: ✭ 31 (-97.17%)
Cifar 10 CnnPlay deep learning with CIFAR datasets
Stars: ✭ 756 (-31.02%)
Cutmix PytorchOfficial Pytorch implementation of CutMix regularizer
Stars: ✭ 754 (-31.2%)
Lane DetectorThis repository is for my article "Tutorial: Build a lane detector" published on Medium.
Stars: ✭ 31 (-97.17%)
SudokuCan Neural Networks Crack Sudoku?
Stars: ✭ 742 (-32.3%)
Average Word2vec🔤 Calculate average word embeddings (word2vec) from documents for transfer learning
Stars: ✭ 52 (-95.26%)
Ml In TfGet started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!
Stars: ✭ 45 (-95.89%)
DogembeddingsRare pupper image compression model for word-embedding-esque operations.
Stars: ✭ 30 (-97.26%)
Getting Things Done With PytorchJupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Stars: ✭ 738 (-32.66%)
NeurecNext RecSys Library
Stars: ✭ 731 (-33.3%)
Gradfeat20Gradients as Features for Deep Representation Learning
Stars: ✭ 30 (-97.26%)
Dl 4 TscDeep Learning for Time Series Classification
Stars: ✭ 730 (-33.39%)
Yolo tensorflow🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.
Stars: ✭ 45 (-95.89%)
Keras Faster RcnnFaster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Stars: ✭ 28 (-97.45%)
Frugally DeepHeader-only library for using Keras models in C++.
Stars: ✭ 719 (-34.4%)
TorchioMedical image preprocessing and augmentation toolkit for deep learning
Stars: ✭ 708 (-35.4%)
Qh finsight国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)
Stars: ✭ 55 (-94.98%)
TrafficvisionMIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.
Stars: ✭ 52 (-95.26%)
Price prediction lobDeep learning for price movement prediction using high frequency limit order data
Stars: ✭ 27 (-97.54%)