52 Open source projects that are alternatives of or similar to dnn.cool

ShinyCMS is an open source CMS. This is the Perl version, built with Catalyst and DBIC. (There is also a Ruby on Rails version: www.github.com/denny/ShinyCMS-ruby)

(Inactive, Checkout AvanaOS, Rewrite of this) This is a New Operating System (Kernel right now). Made completely from scratch, We aim to make a complete OS for Learning purpose

Pretty tiny Scheduler or ptScheduler is an Arduino library for writing non-blocking periodic tasks easily.

A library for managing complex workflows in Swift

A community managed site for Cardano Catalyst. Aiming to gather resources and serve as an information hub for the community

Code for the paper Biomedical Event Extraction with Hierarchical Knowledge Graphs

Mobile templates for .NET 7.0 / F# 7.0

*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach

Generate midi file with deep neural network 🎶

中文NER的那些事儿

Retro Tiny Multitasking system for Z80 based computers

📏 Configure constraints for each device in Interface Builder with IBLayoutConstraint.

📅 Calendar for Apple platforms in Swift

iOS & tvOS multi-emulator frontend, supporting various Atari, Bandai, NEC, Nintendo, Sega, SNK and Sony console systems… Get Started: https://wiki.provenance-emu.com |

Example of adaptive trend following strategy based on Renko

StakePool Operator Scripts. Learn how to create and manage your StakePool with these simple scripts. Hardware-Ledger Support, Token/Asset Sending, Offline-Mode and more...

Smaller code examples from my blog posts on ikyle.me

A REST API base implemented as a microservice written in Go using the Clean Architecture paradigm.

General purpose tools for high-throughput catalysis

Catalyst.Classification

This is an Open-Source, community-driven project for the creation of a documentation hub for Raspberry Pi and ARM Cardano Stake Pool Operators.

A Python Library for Energy Profile and Abstract Grid(2D/3D) plotting

MOVED to https://github.com/crelies/AdvancedList | Advanced list with empty, error and loading state implemented with SwiftUI

Sample python scripts for automation workflows for feature sets present in Catalyst Switching using openly available YANG data models

Multitask、MultiThread(MultiConnection)、Breakpoint-resume、High-concurrency、Simple to use、Single/NotSingle-process

Simple GUI based Operating System - Based upon my own Microcokernel, heavily inspired by the original 1980s AmigaOS (though somewhat simpler).

Lightweight, platform agnostic, stackful cooperative threads library.

A D port of Python's asyncio library

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡

(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

A WebGL accelerated JavaScript library for training and deploying ML models.

Powerful computer vision assisted Lego mosaic creator · Over 500,000 images created (so far!)

Two-stream CNN for gender classification and biometric identification using a dataset of 11K hand images.

Sensor-Independent Illumination Estimation for DNN Models (BMVC 2019)

All about acceleration and compression of Deep Neural Networks

Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states

The Natural Language Decathlon: A Multitask Challenge for NLP

A list of multi-task learning papers and projects.

Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)

My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning

Here is the code for the paper ``Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations'' accepted by EMNLP2020.

(ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_With_Task_Routing_ICCV_2019_paper.html

You Only Look Once for Panopitic Driving Perception.（https://arxiv.org/abs/2108.11250）

[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance

BERT-based joint intent detection and slot filling with intent-slot attention mechanism (INTERSPEECH 2021)

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

Code for "Multi-task Reinforcement Learning with Soft Modularization"

Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]