Pwc Net pytorchpytorch implementation of "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume"
Stars: ✭ 111 (-52.77%)
Lq NetsLQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
Stars: ✭ 195 (-17.02%)
IresnetImproved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
Stars: ✭ 163 (-30.64%)
Pytorchinsighta pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
Stars: ✭ 713 (+203.4%)
DtreevizA python library for decision tree visualization and model interpretation.
Stars: ✭ 1,857 (+690.21%)
TengineTengine is a lite, high performance, modular inference engine for embedded device
Stars: ✭ 4,012 (+1607.23%)
Min nlp practiceChinese & English Cws Pos Ner Entity Recognition implement using CNN bi-directional lstm and crf model with char embedding.基于字向量的CNN池化双向BiLSTM与CRF模型的网络,可能一体化的完成中文和英文分词,词性标注,实体识别。主要包括原始文本数据,数据转换,训练脚本,预训练模型,可用于序列标注研究.注意:唯一需要实现的逻辑是将用户数据转化为序列模型。分词准确率约为93%,词性标注准确率约为90%,实体标注(在本样本上)约为85%。
Stars: ✭ 107 (-54.47%)
Weixinxiaochengxu小帅一点资讯微信小程序图像识别源码,微信小程序百度AI接口源码,微信小程序图片上传显示缩放缩略图,人工智能,图像识别,人脸颜值分析,植物、动物、车型、LOGO、食材、手写文字识别等
Stars: ✭ 162 (-31.06%)
Mvision机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
Stars: ✭ 6,140 (+2512.77%)
Cnn For Image Retrieval🌅The code of post "Image retrieval using MatconvNet and pre-trained imageNet"
Stars: ✭ 597 (+154.04%)
Liteflownet2A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020
Stars: ✭ 195 (-17.02%)
Data Science CompetitionsGoal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
Stars: ✭ 572 (+143.4%)
Sigmoidal aiTutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
Stars: ✭ 103 (-56.17%)
FlashtorchVisualization toolkit for neural networks in PyTorch! Demo -->
Stars: ✭ 561 (+138.72%)
Anime Face Gan KerasA DCGAN to generate anime faces using custom mined dataset
Stars: ✭ 161 (-31.49%)
SeeCode for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"
Stars: ✭ 545 (+131.91%)
ModelsDLTK Model Zoo
Stars: ✭ 101 (-57.02%)
Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
Stars: ✭ 543 (+131.06%)
Deeplearning深度学习入门教程, 优秀文章, Deep Learning Tutorial
Stars: ✭ 6,783 (+2786.38%)
Keras Oneclassanomalydetection[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.
Stars: ✭ 102 (-56.6%)
Music recommenderMusic recommender using deep learning with Keras and TensorFlow
Stars: ✭ 528 (+124.68%)
RemixautomlR package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.
Stars: ✭ 159 (-32.34%)
PycnnImage Processing with Cellular Neural Networks in Python
Stars: ✭ 509 (+116.6%)
LesrcnnLightweight Image Super-Resolution with Enhanced CNN (Knowledge-Based Systems,2020)
Stars: ✭ 101 (-57.02%)
Regl CnnDigit recognition with Convolutional Neural Networks in WebGL
Stars: ✭ 490 (+108.51%)
DeepdetectDeep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Stars: ✭ 2,306 (+881.28%)
BtctradingTime Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms
Stars: ✭ 99 (-57.87%)
Ssr Net[IJCAI18] SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation
Stars: ✭ 475 (+102.13%)
Simple cnnSimple Convolutional Neural Network Library
Stars: ✭ 158 (-32.77%)
FacedetectorA re-implementation of mtcnn. Joint training, tutorial and deployment together.
Stars: ✭ 99 (-57.87%)
Food Recipe Cnnfood image to recipe with deep convolutional neural networks.
Stars: ✭ 448 (+90.64%)
Auto vimlAutomatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Stars: ✭ 216 (-8.09%)
D2 NetD2-Net: A Trainable CNN for Joint Description and Detection of Local Features
Stars: ✭ 448 (+90.64%)
CaptcharecognitionEnd-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别
Stars: ✭ 97 (-58.72%)
Benchm MlA minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Stars: ✭ 1,835 (+680.85%)
NumpycnnBuilding Convolutional Neural Networks From Scratch using NumPy
Stars: ✭ 436 (+85.53%)
Pytorch Pos TaggingA tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
Stars: ✭ 96 (-59.15%)
FeatranA Scala feature transformation library for data science and machine learning
Stars: ✭ 420 (+78.72%)
Did MdnDensity-aware Single Image De-raining using a Multi-stream Dense Network (CVPR 2018)
Stars: ✭ 192 (-18.3%)
Mobilenet V2 CaffeMobileNet-v2 experimental network description for caffe
Stars: ✭ 93 (-60.43%)
LcnnLCNN: End-to-End Wireframe Parsing
Stars: ✭ 234 (-0.43%)
PyconvPyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Stars: ✭ 231 (-1.7%)
MarsMars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Stars: ✭ 2,308 (+882.13%)
Captcha基于CNN的验证码整体识别
Stars: ✭ 125 (-46.81%)
MirrorMatchable Image Retrieval by Learning from Surface Reconstruction
Stars: ✭ 44 (-81.28%)