pome90

pome90's Stars

• brycejohnston/awesome-agriculture

  Open source technology for agriculture, farming, and gardening

  1.3k198

• chrieke/awesome-satellite-imagery-datasets

  🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

  3.6k643

• zzh8829/yolov3-tf2

  YoloV3 Implemented in Tensorflow 2.0

  Language:Jupyter Notebook2.5k907

• DHI/terracotta

  A light-weight, versatile XYZ tile server, built with Flask and Rasterio :earth_africa:

  Language:Python68472

• mavlink/MAVSDK

  API and library for MAVLink compatible systems written in C++17

  Language:C++625507

• PennyLaneAI/pennylane

  PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

  Language:Python2.3k595

• XanaduAI/quantum-neural-networks

  This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.

  Language:Python29986

• e-lab/LinkNet

  Language:Lua16742

• omni-us/squeezedet-keras

  Keras implementation of the Squeeze Det Object Detection Deep Learning Framework

  Language:Python12841

• stratospark/keras-multiprocess-image-data-generator

  Accelerating Deep Learning with Multiprocess Image Augmentation in Keras

  Language:Jupyter Notebook31767

• DeepTrial/Retina-VesselNet

  A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2

  Language:Jupyter Notebook30476

• keunwoochoi/keras_callbacks_example

  Keras callback example

  Language:Python5617

• HongyangGao/PixelTCN

  Tensorflow Implementation of Pixel Transposed Convolutional Networks (PixelTCN and PixelTCL)

  Language:Python9736

• nwojke/deep_sort

  Simple Online Realtime Tracking with a Deep Association Metric

  Language:Python5.3k1.5k

• gboeing/osmnx

  OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

  Language:Python4.9k824

• experiencor/keras-yolo2

  Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

  Language:Jupyter Notebook1.7k784

• floydhub/floyd-cli

  Command line tool for FloydHub - the fastest way to build, train, and deploy deep learning models

  Language:Python15634

• keras-team/keras

  Deep Learning for humans

  Language:Python61.9k19.4k

• ethereon/caffe-tensorflow

  Caffe models in TensorFlow

  Language:Python2.8k1k

• sugyan/tensorflow-mnist

  Language:Python895396

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++186k74.3k

• cazala/synaptic

  architecture-free neural network library for node.js and the browser

  Language:JavaScript6.9k665

• vkarpov15/wagner-core

  Dependency injector and dependency-injection-based async framework for NodeJS

  Language:JavaScript426