Deep Learning Traffic LightsCode and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge
Stars: ✭ 457 (+175.3%)
Facemaskdetection开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.
Stars: ✭ 1,677 (+910.24%)
Bottom Up AttentionBottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
Stars: ✭ 989 (+495.78%)
LearningThe data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.
Stars: ✭ 330 (+98.8%)
Face Mask DetectionFace Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
Stars: ✭ 774 (+366.27%)
VpgnetVPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)
Stars: ✭ 382 (+130.12%)
Teacher Student TrainingThis repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.
Stars: ✭ 34 (-79.52%)
SpherefaceImplementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
Stars: ✭ 1,483 (+793.37%)
Sphereface PlusSphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.
Stars: ✭ 151 (-9.04%)
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 (-38.55%)
OrnOriented Response Networks, in CVPR 2017
Stars: ✭ 207 (+24.7%)
Up Down CaptionerAutomatic image captioning model based on Caffe, using features from bottom-up attention.
Stars: ✭ 195 (+17.47%)
Cascaded FcnSource code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
Stars: ✭ 296 (+78.31%)
Caffenet BenchmarkEvaluation of the CNN design choices performance on ImageNet-2012.
Stars: ✭ 700 (+321.69%)
DeepnetsforeoDeep networks for Earth Observation
Stars: ✭ 393 (+136.75%)
All Classifiers 2019A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
Stars: ✭ 22 (-86.75%)
SeqfaceSeqFace : Making full use of sequence information for face recognition
Stars: ✭ 125 (-24.7%)
Py Rfcn Privcode for py-R-FCN-multiGPU maintained by bupt-priv
Stars: ✭ 153 (-7.83%)
DspMetis Data Science Bootcamp - Official Prework Repository
Stars: ✭ 164 (-1.2%)
Appearance FlowA deep learning framework for synthesizing novel views of objects and scenes
Stars: ✭ 164 (-1.2%)
NbdimeTools for diffing and merging of Jupyter notebooks.
Stars: ✭ 2,135 (+1186.14%)
NewsrecommenderA news recommendation system tailored for user communities
Stars: ✭ 164 (-1.2%)
Replika ResearchReplika.ai Research Papers, Posters, Slides & Datasets
Stars: ✭ 164 (-1.2%)
TdlCourse "Theories of Deep Learning"
Stars: ✭ 164 (-1.2%)
Maml JaxImplementation of Model-Agnostic Meta-Learning (MAML) in Jax
Stars: ✭ 164 (-1.2%)
QbstylesQuantumBlack Matplotlib styles
Stars: ✭ 166 (+0%)
SegflowDemo code of the paper "SegFlow: Joint Learning for Video Object Segmentation and Optical Flow", in ICCV 2017
Stars: ✭ 165 (-0.6%)
TaTechnical Analysis Library using Pandas and Numpy
Stars: ✭ 2,649 (+1495.78%)
WorkshopsWorkshops organized to introduce students to security, AI, AR/VR, hardware and software
Stars: ✭ 162 (-2.41%)
MarketanalysisPortfolio Theory, Options Theory, & Quant Finance
Stars: ✭ 164 (-1.2%)
Nnef ToolsThe NNEF Tools repository contains tools to generate and consume NNEF documents
Stars: ✭ 165 (-0.6%)
Dl CourseDeep Learning with Catalyst
Stars: ✭ 162 (-2.41%)
Tensorflow2 Crash CourseA quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API
Stars: ✭ 162 (-2.41%)
Machine LearningMachine learning library written in readable python code
Stars: ✭ 163 (-1.81%)
Blog postsBlog posts for matatat.org
Stars: ✭ 163 (-1.81%)
Cifar 10.1Release of CIFAR-10.1, a new test set for CIFAR-10.
Stars: ✭ 166 (+0%)
Python devops book[Book-2020] Python For DevOps: Learn Ruthlessly Effective Automation
Stars: ✭ 166 (+0%)
NotesContains Example Programs and Notebooks for some courses at Bogazici University, Department of Computer Engineering
Stars: ✭ 163 (-1.81%)
Cvpr18 Inaturalist TransferLarge Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018
Stars: ✭ 164 (-1.2%)
NeuralnetsDeep Learning libraries tested on images and time series
Stars: ✭ 163 (-1.81%)