PythonmlArtificial neural network classes and tools in Python and TensorFlow.
Stars: ✭ 114 (-94.58%)
AlphatradingAn workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.
Stars: ✭ 144 (-93.15%)
MilanoMilano is a tool for automating hyper-parameters search for your models on a backend of your choice.
Stars: ✭ 140 (-93.34%)
PhantoscopeOpen Source, Cloud Native, RESTful Search Engine Powered by Neural Networks
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Awesome System For Machine LearningA curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.
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Chainer Cifar10Various CNN models for CIFAR10 with Chainer
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DeepcpgDeep neural networks for predicting CpG methylation
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Rnn TrajmodelThe source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"
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Aw nasaw_nas: A Modularized and Extensible NAS Framework
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Cinc Challenge2017ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)
Stars: ✭ 112 (-94.67%)
ImagenetPytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
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Gluon2pytorchGluon to PyTorch deep neural network model converter
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Awesome Robotic ToolingTooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
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Cnn Interpretability🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
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PixorPyTorch Implementation of PIXOR
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Deeplearning4jAll DeepLearning4j projects go here.
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Intelegent locklock mechanism with face recognition and liveness detection
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Pinns Tf2.0TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
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Shiftresnet CifarResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch
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Rul NetDeep learning approach for estimation of Remaining Useful Life (RUL) of an engine
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Deep PlantDeep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.
Stars: ✭ 66 (-96.86%)
Deep demosaickIterative Residual Network for Deep Joint Image Demosaicking and Denoising
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Espnetv2 CoremlSemantic segmentation on iPhone using ESPNetv2
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Cs231n Convolutional Neural Networks SolutionsAssignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
Stars: ✭ 110 (-94.77%)
Mxnet FinetunerAn all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.
Stars: ✭ 100 (-95.24%)
Deep architectA general, modular, and programmable architecture search framework
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Unsupervised detectionAn Unsupervised Learning Framework for Moving Object Detection From Videos
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JsnetJavascript/WebAssembly deep learning library for MLPs and convolutional neural networks
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Curved Lane Linesdetect curved lane lines using HSV filtering and sliding window search.
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Rcnn Relation ExtractionTensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction
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Visualizingcnn 🙈A PyTorch implementation of the paper "Visualizing and Understanding Convolutional Networks." (ECCV 2014)
Stars: ✭ 132 (-93.72%)
Tf eeglearnA tensorflow implementation for EEGLearn
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Facedet实现常用基于深度学习的人脸检测算法
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YnetY-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images
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Attribute Aware Attention[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning
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Antialiased Cnnspip install antialiased-cnns to improve stability and accuracy
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LsuvinitReference caffe implementation of LSUV initialization
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TimeceptionTimeception for Complex Action Recognition, CVPR 2019 (Oral Presentation)
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DeepvideodeblurringS. Su, M. Delbracio, J. Wang, G. Sapiro, W. Heidrich, O. Wang. Deep Video Deblurring. CVPR 2017, Spotlight
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Nice Gan PytorchOfficial PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
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Simple Neural NetworkCreating a simple neural network in Python with one input layer (3 inputs) and one output neuron.
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BtctradingTime Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms
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