877 Open source projects that are alternatives of or similar to Deep Learning Papers

Survival analysis with PyTorch

List of Data Science and Machine Learning Resource that I frequently use

Python package providing some useful tools when dealing with molecules and materials under periodic boundary conditions and uniform grids. This is a mirror of https://gitlab.com/ales.genova/pbcpy

W A R N I N G: This is a previous proof of concept of CanAirIO device firmware over a TTGO T-Display board, but now it is only a old reference. The last stable version of CanAirIO device already have support for this board and many features more. Please use the official CanAirIO Firmware instead of this firmware. https://github.com/kike-canaries…

Scientific time series and deep learning state of the art

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A curated list of awesome awesomeness about artificial intelligence

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chemical graph theory library for JavaScript

This is a collection of papers and other resources related to fairness.

Tensors and differentiable operations (like TensorFlow) in Rust

The 4th Annual American Museum of Natural History Hackathon produced by the BridgeUP: STEM program

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Codes for weekly challenges on Deep Learning by Siraj

A compilation of game dev related media (podcasts, Youtube, article, books, etc..)

OpenFLUID framework and applications

NLP & imageについて幅広くサーベイする。

An analysis and visualization platform for 'omics data

SIRIUS is a software for discovering a landscape of de-novo identification of metabolites using tandem mass spectrometry. This repository contains the code of the SIRIUS Software (GUI and CLI)

A collection of research and application papers of (uncertainty) calibration techniques.

links to conference publications in graph-based deep learning

Laboratory automation for the behavioral and social sciences; human culture on a chip.

Whisper of the arxiv: read comments in tex of papers

An Innovative Salient Object Detection Using Center-Dark Channel Prior

High-quality implementations of standard and SOTA methods on a variety of tasks.

Interactive Notation for Computational Graphs

Scientific measurement library for instruments, experiments, and live-plotting

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Summarizing the papers I have read (Japanese)

'Brilliantly wrong' blog, Machine Learning visualizations live here

Rmarkdown for Scientists

Readings in Stream Processing

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Papers about NN and linguistics

Semi-Supervised Video Object Segmentation(VOS) Paper List

A Docker multi-container application that runs a BOINC server

Relax! Flux is the ML library that doesn't make you tensor

Publication delays at PLOS and 3,475 other journals

A curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering

Python package for automated analysis and management of gridded climate data

🥕 Evolutionary Neural Networks in JavaScript

A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

A toolset for handwriting recognition

Recent security papers on firmware analysis

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

NEURAL: a neonatal EEG feature set in Matlab

Make a Kepler orrery gif or movie of all the Kepler multi-planet systems

FSL-Mate: A collection of resources for few-shot learning (FSL).

A Versatile Web-Based Audio Player for Presenting Scientific Results

🎨 Winning solution for the Painter by Numbers competition on Kaggle.

Summary of Transformer applications for computer vision tasks.

Project documentation including our README, contributing guidelines and more.

A d3 powered customizable and animated atomic bohr model

Source code for the publications on "a non-linear Granger-causality framework to investigate climate–vegetation dynamics", by Papagiannopoulou et al., GMD & ERL 2017

A package for designing activity-informed nucleic acid diagnostics for viruses.

A basic CS curriculum for coding in Python.

Summaries of papers on machine learning, computer vision, autonomous robots etc.