MilanoMilano is a tool for automating hyper-parameters search for your models on a backend of your choice.
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OptimusOptimus: the first large-scale pre-trained VAE language model
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Ml ExamplesArm Machine Learning tutorials and examples
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Traffic Sign DetectionTraffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
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DkerasDistributed Keras Engine, Make Keras faster with only one line of code.
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Vae SeqVariational Auto-Encoders in a Sequential Setting.
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Mnist drawThis is a sample project demonstrating the use of Keras (Tensorflow) for the training of a MNIST model for handwriting recognition using CoreML on iOS 11 for inference.
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VidaugEffective Video Augmentation Techniques for Training Convolutional Neural Networks
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Generative adversarial networks 101Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
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LearnopencvLearn OpenCV : C++ and Python Examples
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FactorvaePytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
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Deep SteganographyHiding Images within other images using Deep Learning
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Keras UnetHelper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
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Kiu Net PytorchOfficial Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)
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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.
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50 Days Of MlA day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
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Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
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NumpydlDeep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.
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AognetCode for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"
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TerngradTernary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)
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Netdef modelsRepository for different network models related to flow/disparity (ECCV 18)
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OneflowOneFlow is a performance-centered and open-source deep learning framework.
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Hdr ExpandnetTraining and inference code for ExpandNet
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Deepstream YoloNVIDIA DeepStream SDK 5.1 configuration for YOLO models
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CondensaProgrammable Neural Network Compression
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Gan MnistGenerative Adversarial Network for MNIST with tensorflow
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AbolethA bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
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Pytorch convlstmconvolutional lstm implementation in pytorch
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Ml WorkspaceMachine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available
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PerceptualimageerrorA metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).
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MonetMONeT framework for reducing memory consumption of DNN training
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Dnnweaver2Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.
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Pytorch Vq VaePyTorch implementation of VQ-VAE by Aäron van den Oord et al.
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Keras KaldiKeras Interface for Kaldi ASR
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Tf Adnet TrackingDeep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'
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HyperdensenetThis repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
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GuesslangDetect the programming language of a source code
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Trainer MacTrains a model, then generates a complete Xcode project that uses it - no code necessary
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Pytorch LapsrnPytorch implementation for LapSRN (CVPR2017)
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Lenet 5PyTorch implementation of LeNet-5 with live visualization
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DynamicsA Compositional Object-Based Approach to Learning Physical Dynamics
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MicroexpnetMicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images
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Focal Loss KerasBinary and Categorical Focal loss implementation in Keras.
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Multihead Siamese NetsImplementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.
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LivianetThis repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"
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ShainetSHAInet - a pure Crystal machine learning library
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Cada Vae PytorchOfficial implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
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