Detecting 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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python deep-learning tensorflow deep-neural-networks detection image-classification

Graffitist

Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow

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python tensorflow deep-neural-networks quantization

Voice activity detection

Voice Activity Detection based on Deep Learning & TensorFlow

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Algobook

A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

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Aognet

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

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python deep-learning computer-vision deep-neural-networks image-classification mxnet imagenet cifar10

Top 10 Computer Vision Papers 2020

A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

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Netdef models

Repository for different network models related to flow/disparity (ECCV 18)

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python deep-neural-networks optical-flow

Labeld

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

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Hdr Expandnet

Training and inference code for ExpandNet

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Reptile Pytorch

A PyTorch implementation of OpenAI's REPTILE algorithm

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Condensa

Programmable Neural Network Compression

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python deep-neural-networks model-compression

Swa object detection

SWA Object Detection

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python object-detection deep-neural-networks instance-segmentation

Aboleth

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

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Phantoscope

Open Source, Cloud Native, RESTful Search Engine Powered by Neural Networks

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Pytorch convlstm

convolutional lstm implementation in pytorch

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Simple Neural Network

Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.

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Perceptualimageerror

A metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).

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python deep-learning pytorch tensorflow deep-neural-networks

Deep Learning For Time Series Forecasting

This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete and executable examples in Python.

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deep-learning deep-neural-networks

Monet

MONeT framework for reducing memory consumption of DNN training

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python machine-learning pytorch deep-neural-networks dnn

Dnnweaver2

Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.

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jupyter-notebook deep-neural-networks fpga

Echo

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

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100 Days Of Nlp

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Keras Kaldi

Keras Interface for Kaldi ASR

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python deep-neural-networks speech-recognition

Chinese Speech To Text

Chinese Speech To Text Using Wavenet

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python tensorflow keras deep-neural-networks speech-recognition

Hyperdensenet

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

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Pointwise

Code for Pointwise Convolutional Neural Networks, CVPR 2018

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python deep-learning deep-neural-networks point-cloud

Perceptualsimilarity

LPIPS metric. pip install lpips

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python shell Dockerfile deep-learning pytorch deep-neural-networks perceptual-losses perceptual perceptual-metric perceptual-similarity

Imagecluster

Cluster images based on image content using a pre-trained deep neural network, optional time distance scaling and hierarchical clustering.

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python deep-neural-networks clustering

Trainer Mac

Trains a model, then generates a complete Xcode project that uses it - no code necessary

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Lenet 5

PyTorch implementation of LeNet-5 with live visualization

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Nlp Pretrained Model

A collection of Natural language processing pre-trained models.

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Microexpnet

MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images

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python deep-learning machine-learning tensorflow deep-neural-networks model-compression

Mgan

Masking GAN - Image attribute mask generation

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python machine-learning image-processing deep-neural-networks generative-adversarial-network image-manipulation

Machine learning lectures

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

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Deephyper

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

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Ml Fraud Detection

Credit card fraud detection through logistic regression, k-means, and deep learning.

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python jupyter-notebook machine-learning deep-neural-networks kaggle logistic-regression

Onnx

Open standard for machine learning interoperability

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C++python c CMake Jupyter Notebook shell deep-learning machine-learning pytorch tensorflow keras neural-network deep-neural-networks scikit-learn ml mxnet onnx dnn

Tenginekit

TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.