All Projects → Omniclone → Similar Projects or Alternatives

58 Open source projects that are alternatives of or similar to Omniclone

Unsuperviseddeephomographyral2018
Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model
Stars: ✭ 161 (-12.5%)
Mutual labels:  deep
Siamese Networks
Few Shot Learning by Siamese Networks, using Keras.
Stars: ✭ 146 (-20.65%)
Mutual labels:  deep
Keras Rl2
Reinforcement learning with tensorflow 2 keras
Stars: ✭ 134 (-27.17%)
Mutual labels:  deep
Djl Demo
Demo applications showcasing DJL
Stars: ✭ 126 (-31.52%)
Mutual labels:  deep
Dsh tensorflow
implemement of DEEP SUPERVISED HASHING FOR FAST IMAGE RETRIEVAL_CVPR2016
Stars: ✭ 97 (-47.28%)
Mutual labels:  deep
Neural Api
CAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
Stars: ✭ 94 (-48.91%)
Mutual labels:  deep
Merge Deep
Recursively merge values in a JavaScript object.
Stars: ✭ 90 (-51.09%)
Mutual labels:  deep
Deeplearning Mindmap
A mindmap summarising Deep Learning concepts.
Stars: ✭ 1,251 (+579.89%)
Mutual labels:  deep
Mixin Deep
Deeply mix the properties of objects into the first object, while also mixing-in child objects.
Stars: ✭ 72 (-60.87%)
Mutual labels:  deep
Deepc
Suite of Deep compositing tools for Foundry's Nuke.
Stars: ✭ 56 (-69.57%)
Mutual labels:  deep
Deep Nlp
Tensorflow Tutorial files and Implementations of various Deep NLP and CV Models.
Stars: ✭ 51 (-72.28%)
Mutual labels:  deep
Ludwig
Data-centric declarative deep learning framework
Stars: ✭ 8,018 (+4257.61%)
Mutual labels:  deep
Satellite imagery analysis
Implementation of different techniques to find insights from the satellite data using Python.
Stars: ✭ 31 (-83.15%)
Mutual labels:  deep
Model Free Episodic Control
This is the implementation of paper Model Free Episodic Control
Stars: ✭ 31 (-83.15%)
Mutual labels:  deep
My Very Deep Caffe
This is an implementation of very deep two stream CNNs for action recognition. The implementation is inspired by Wang et. al., https://github.com/yjxiong/caffe. Some improvements from Wang's implementation include reading videos from LDMB database, faster testing using LDMB interface. The aim is to work better with big dataset such as UCF101, HMDB51, Sports1M and ActivityNet easily.
Stars: ✭ 21 (-88.59%)
Mutual labels:  deep
Pytorch Forecasting
Time series forecasting with PyTorch
Stars: ✭ 849 (+361.41%)
Mutual labels:  deep
Py Style Transfer
🎨 Artistic neural style transfer with tweaks (pytorch).
Stars: ✭ 23 (-87.5%)
Mutual labels:  deep
Variational Autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Stars: ✭ 807 (+338.59%)
Mutual labels:  deep
Deepj
A deep learning model for style-specific music generation.
Stars: ✭ 681 (+270.11%)
Mutual labels:  deep
Amazon Sagemaker Examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Stars: ✭ 6,346 (+3348.91%)
Mutual labels:  deep
Deep Object Diff
Deep diffs two objects, including nested structures of arrays and objects, and returns the difference. ❄️
Stars: ✭ 515 (+179.89%)
Mutual labels:  deep
Awesome Cybersecurity Datasets
A curated list of amazingly awesome Cybersecurity datasets
Stars: ✭ 380 (+106.52%)
Mutual labels:  deep
Action Recognition Visual Attention
Action recognition using soft attention based deep recurrent neural networks
Stars: ✭ 350 (+90.22%)
Mutual labels:  deep
Jeelizar
JavaScript object detection lightweight library for augmented reality (WebXR demos included). It uses convolutional neural networks running on the GPU with WebGL.
Stars: ✭ 296 (+60.87%)
Mutual labels:  deep
Credit-Card-Fraud
No description or website provided.
Stars: ✭ 17 (-90.76%)
Mutual labels:  deep
underscore.haz
🔍 _.haz() is like _.has() but this underscore and/or lodash mixin lets you do deep object key existence checking with a dot denoted string, for example 'a.b.c'
Stars: ✭ 13 (-92.93%)
Mutual labels:  deep
ocaml-multicont
multi-shot continuations in OCaml
Stars: ✭ 17 (-90.76%)
Mutual labels:  deep
get
🚚 A really small and type-safe (requires TypeScript >= 4.1.3) function, that gets a nested value from an object using a path string (like "a.b[0].d"). If value is 'undefined' or unreachable returns the placeholder instead.
Stars: ✭ 13 (-92.93%)
Mutual labels:  deep
Inferno-Realtime-Fire-detection-using-CNNs
FPGA Deployable Fire Detection Model for Real-Time Video Surveillance Systems Using Convolutional Neural Networks
Stars: ✭ 24 (-86.96%)
Mutual labels:  deep
videoMultiGAN
End to End learning for Video Generation from Text
Stars: ✭ 53 (-71.2%)
Mutual labels:  deep
forestTreesTagging
This project has the vision to assist the officials for Forest trees census and tagging each tree with proper location (latitude and longitude), tree type, and other arguments. and further had the plan to apply data analysis over-collected data.
Stars: ✭ 18 (-90.22%)
Mutual labels:  deep
az-deep-realtime-score
AKS Deployment Tutorial
Stars: ✭ 33 (-82.07%)
Mutual labels:  deep
DeepCD
[ICCV17] DeepCD: Learning Deep Complementary Descriptors for Patch Representations
Stars: ✭ 39 (-78.8%)
Mutual labels:  deep
hawp
Holistically-Attracted Wireframe Parsing
Stars: ✭ 146 (-20.65%)
Mutual labels:  deep
dqn-tensorflow
Deep Q Network implements by Tensorflow
Stars: ✭ 25 (-86.41%)
Mutual labels:  deep
Tensorflow-Wide-Deep-Local-Prediction
This project demonstrates how to run and save predictions locally using exported tensorflow estimator model
Stars: ✭ 28 (-84.78%)
Mutual labels:  deep
map-keys-deep-lodash
Map/rename keys recursively with Lodash
Stars: ✭ 16 (-91.3%)
Mutual labels:  deep
Protobuf-Dreamer
A tiled DeepDream project for creating any size of image, on both CPU and GPU
Stars: ✭ 39 (-78.8%)
Mutual labels:  deep
CarND-VehicleDetection
vehicle detection with deep learning
Stars: ✭ 34 (-81.52%)
Mutual labels:  deep
nlp pycon
Material for PyCon 2019 NLP Tutorial
Stars: ✭ 33 (-82.07%)
Mutual labels:  deep
introspected
Introspection for serializable arrays and JSON friendly objects.
Stars: ✭ 75 (-59.24%)
Mutual labels:  deep
rl
Reinforcement learning algorithms implemented using Keras and OpenAI Gym
Stars: ✭ 14 (-92.39%)
Mutual labels:  deep
cca zoo
Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework
Stars: ✭ 103 (-44.02%)
Mutual labels:  deep
jest-expect-contain-deep
Assert deeply nested values in Jest
Stars: ✭ 68 (-63.04%)
Mutual labels:  deep
IJCAI2018 SSDH
Semantic Structure-based Unsupervised Deep Hashing IJCAI2018
Stars: ✭ 38 (-79.35%)
Mutual labels:  deep
defaults-deep
Like `extend` but recursively copies only the missing properties/values to the target object.
Stars: ✭ 26 (-85.87%)
Mutual labels:  deep
Differentia.js
No longer being supported or maintained. A Graph Theory & Data Structure Library for JavaScript.
Stars: ✭ 13 (-92.93%)
Mutual labels:  deep
iextrading4j-hist
IEX Trading library to parse TOPS and DEEP multicast packets
Stars: ✭ 20 (-89.13%)
Mutual labels:  deep
TOAD
AI-based pathology predicts origins for cancers of unknown primary - Nature
Stars: ✭ 138 (-25%)
Mutual labels:  deep
prunnable-layers-pytorch
Prunable nn layers for pytorch.
Stars: ✭ 47 (-74.46%)
Mutual labels:  deep
optkeras
OptKeras: wrapper around Keras and Optuna for hyperparameter optimization
Stars: ✭ 29 (-84.24%)
Mutual labels:  deep
js-deep-sort-object
Simple module to sort objects recursively by its keys
Stars: ✭ 19 (-89.67%)
Mutual labels:  deep
Learningx
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
Stars: ✭ 241 (+30.98%)
Mutual labels:  deep
Ros robotics projects
Example codes of new book ROS Robotics Projects
Stars: ✭ 240 (+30.43%)
Mutual labels:  deep
Collectable
High-performance immutable data structures for modern JavaScript and TypeScript applications. Functional interfaces, deep/composite operations API, mixed mutability API, TypeScript definitions, ES2015 module exports.
Stars: ✭ 233 (+26.63%)
Mutual labels:  deep
Clone Deep
Recursively (deep) clone JavaScript native types, like Object, Array, RegExp, Date as well as primitives. Used by superstruct, merge-deep, and many others!
Stars: ✭ 229 (+24.46%)
Mutual labels:  deep
Clone
A professional deep clone library
Stars: ✭ 201 (+9.24%)
Mutual labels:  deep
Get Value
Use property paths (`a.b.c`) get a nested value from an object.
Stars: ✭ 194 (+5.43%)
Mutual labels:  deep
1-58 of 58 similar projects