80 Open source projects that are alternatives of or similar to TOAD

Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering

Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021

Action recognition using soft attention based deep recurrent neural networks

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.

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.

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

Few Shot Learning by Siamese Networks, using Keras.

multi-shot continuations in OCaml

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Deep Q Network implements by Tensorflow

Suite of Deep compositing tools for Foundry's Nuke.

vehicle detection with deep learning

Time series forecasting with PyTorch

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

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

HighLoad Cup 2018

No description or website provided.

Demo applications showcasing DJL

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

Simple module to sort objects recursively by its keys

[ICCV17] DeepCD: Learning Deep Complementary Descriptors for Patch Representations

A mindmap summarising Deep Learning concepts.

Map/rename keys recursively with Lodash

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.

Introspection for serializable arrays and JSON friendly objects.

Data-centric declarative deep learning framework

Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework

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.

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

🎨 Artistic neural style transfer with tweaks (pytorch).

🌐 A JSON lexer and parser built according to the official ECMA-404 JSON Data Interchange Standard

A deep learning model for style-specific music generation.

Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model

A curated list of amazingly awesome Cybersecurity datasets

OptKeras: wrapper around Keras and Optuna for hyperparameter optimization

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

Reinforcement learning with tensorflow 2 keras

🔍 _.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'

Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"

🚚 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.

implemement of DEEP SUPERVISED HASHING FOR FAST IMAGE RETRIEVAL_CVPR2016

End to End learning for Video Generation from Text

Prunable nn layers for pytorch.

AKS Deployment Tutorial

Recursively merge values in a JavaScript object.

Holistically-Attracted Wireframe Parsing

Example codes of new book ROS Robotics Projects

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

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

A tiled DeepDream project for creating any size of image, on both CPU and GPU

Brazilian Agricultural Research Corporation (EMBRAPA) fully annotated dataset for plant diseases. Plug and play installation over PiP.

Material for PyCon 2019 NLP Tutorial

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

Reinforcement learning algorithms implemented using Keras and OpenAI Gym

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

Assert deeply nested values in Jest

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

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

CoRA Docs

Segmentation of skin cancers on ISIC 2017 challenge dataset.