110 Open source projects that are alternatives of or similar to defaults-deep

Suite of Deep compositing tools for Foundry's Nuke.

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

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.

multi-shot continuations in OCaml

Simple module to sort objects recursively by its keys

This is the implementation of paper Model Free Episodic Control

Prunable nn layers for pytorch.

Action recognition using soft attention based deep recurrent neural networks

A professional deep clone library

Demo applications showcasing DJL

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.

Convert a string to pascal case (upper camel case). Used by more than 8.7 million projects on GitHub! Please follow this library's author: https://github.com/jonschlinkert

A mindmap summarising Deep Learning concepts.

A git merge driver that use xdiff to automatically resolve merge conflicts in json files. This project was inspired by git-po-merge.

Data-centric declarative deep learning framework

Tale Pug is the popular JavaScript Template Engine Pug, formerly Jade, for PHP!

Time series forecasting with PyTorch

List merged and cherry-picked branches

Deep diffs two objects, including nested structures of arrays and objects, and returns the difference. ❄️

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.

No description or website provided.

Image glitch visualization using various Pixel Sorting methods for Processing

FPGA Deployable Fire Detection Model for Real-Time Video Surveillance Systems Using Convolutional Neural Networks

An isomorphic and configurable javascript utility for objects deep cloning that supports circular references.

Reinforcement learning with tensorflow 2 keras

AKS Deployment Tutorial

A collection of pure Tcl, production-ready micro packages

implemement of DEEP SUPERVISED HASHING FOR FAST IMAGE RETRIEVAL_CVPR2016

IEX Trading library to parse TOPS and DEEP multicast packets

Recursively merge values in a JavaScript object.

OptKeras: wrapper around Keras and Optuna for hyperparameter optimization

Deeply mix the properties of objects into the first object, while also mixing-in child objects.

a tiny utility to programatically create and mount Vue 3 components (e.g. a Vue.extend replacement)

Tensorflow Tutorial files and Implementations of various Deep NLP and CV Models.

WormHole allows to share classes between Flutter and Native Platform (android / ios)

Implementation of different techniques to find insights from the satellite data using Python.

AI-based pathology predicts origins for cancers of unknown primary - Nature

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.

Tools for finding and manipulating differences between files

🎨 Artistic neural style transfer with tweaks (pytorch).

A simple command line tool to merge ip/ip cidr/ip range, supports IPv4/IPv6

A deep learning model for style-specific music generation.

Example codes of new book ROS Robotics Projects

A curated list of amazingly awesome Cybersecurity datasets

Official user supported WebGrab+Plus Siteini.pack repo

JavaScript object detection lightweight library for augmented reality (WebXR demos included). It uses convolutional neural networks running on the GPU with WebGL.

Recursively (deep) clone JavaScript native types, like Object, Array, RegExp, Date as well as primitives. Used by superstruct, merge-deep, and many others!

🔍 _.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'

Parse `.git/config` into a JavaScript object. sync or async.

🚚 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.

Use property paths (`a.b.c`) get a nested value from an object.

End to End learning for Video Generation from Text

Recursively omit empty properties from an object. Omits empty objects, arrays, strings, and optionally zero. Similar results to what you would expect with `compact` for arrays.

Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model

No longer being supported or maintained. A Graph Theory & Data Structure Library for JavaScript.

Fix rebase conflicts with minimum pain.

Converts a string into an array of tokens, with useful methods for looking ahead and behind, capturing, matching, et cetera.

Php library to merge text. 3 way merge like git in php.

Few Shot Learning by Siamese Networks, using Keras.