1338 Open source projects that are alternatives of or similar to Neural

Deep Learning for Julia

Autodifferentiation package in Rust.

Julia port of the Python autograd package.

An Inkscape extension: Latex/Tex editor for Inkscape

📈📊📱💻🖥️An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. 极其精美而又强大的跨平台数据可视化图表框架,支持柱状图、条形图、…

Awesome machine learning model compression research papers, tools, and learning material.

Code from the article "Drawing Good-looking Trees" in Python Magazine

Java bindings for Skia

machine learning and deep learning tutorials, articles and other resources

Mirror of Gaia Sky repository hosted on Gitlab: https://gitlab.com/langurmonkey/gaiasky

A blog made with django designed like a scientific paper written in Latex.

Compile PostgreSQL and MySQL table information into a PlantUML description.

An easy-to-use interface for measuring uncertainty and robustness.

Render high-resolution bitmap images to PCB gerber files

Rust bindings for the shaderc library.

Frame-Recurrent Video Super-Resolution (official repository)

The DirectX Tool Kit (aka DirectXTK) is a collection of helper classes for writing DirectX 11.x code in C++

A Flutter Package to render Mathematics, Physics and Chemistry Equations based on LaTeX

Homebrew PICA200 GPU wrapper library for Nintendo 3DS

Ray tracer with phong lighting, reflections, refractions, normal mapping, procedural textures, super sampling, and depth of field.

Include Jupyter notebook cells in TeX documents

**国科大新版标准** 中国科学院大学学位论文模板，目前遵守2018国科大指导标准。 a LaTeX template for UCAS.

EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)

🔺😎 A curated list of awesome stuff to learn computer graphics

A collection of common algorithms and data structures implemented in java, c++, and python.

HUST Homeworks(Course design / Reports / Labs / etc. )

A High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".

A unified ensemble framework for Pytorch to improve the performance and robustness of your deep learning model

Minimal TeX Live image for Japanese based on alpine

📷 Realtime camera filters on android.

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Machine Learning inference engine for Microcontrollers and Embedded devices

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

Make Zotero effective for us LaTeX holdouts

A P300 online spelling mechanism for Emotiv headsets. It's completely written in Node.js, and the GUI is based on Electron and Vue.

10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!

spritejs 小程序版

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

Various teaching material

CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic Encryptions and its applications). This project demonstrates the use of Homomorphic Encryption for outsourcing neural-network predictions. The scenario in mind is a provider that would like to provide Prediction as a Service (PaaS) but the data for which predictions are needed may be private. This may be the case in fields such as health or finance. By using CryptoNets, the user of the service can encrypt their data using Homomorphic Encryption and send only the encrypted message to the service provider. Since Homomorphic Encryptions allow the provider to operate on the data while it is encrypted, the provider can make predictions using a pre-trained Neural-Network while the data remains encrypted throughout the process and finaly send the prediction to the user who can decrypt the results. During the process the service provider does not learn anything about the data that was used, the prediction that was made or any intermediate result since everything is encrypted throughout the process. This project uses the Simple Encrypted Arithmetic Library SEAL version 3.2.1 implementation of Homomorphic Encryption developed in Microsoft Research.

Code for reproducing Flow ++ experiments

Lightning Network Paper

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

A C++ Compute/Graphics Library and Toolchain enabling same-source CUDA/Host/Metal/OpenCL/Vulkan C++ programming and execution.

Compute Stochastic Screen Space Reflections for unity post processing

A single / multi layer / recurrent neural network written in Golang.

Create all the [ch]arts by cax or three.js - Cax 和 three.js 创造一切图[表]

Oasis Engine is a web-first and mobile-first high-performance real-time development platform.

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Magical syntax highlighting for LaTeX-mode buffers

A billable-time invoice featuring style over substance

Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'

The GNUstep gui library is a library of graphical user interface classes written completely in the Objective-C language; the classes are based upon Apple's Cocoa framework (which came from the OpenStep specification). *** Larger patches require copyright assignment to FSF. please file bugs here. ***

Markdown templates for Pandoc

Unity Machine Learning Agents Toolkit

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Filament is a real-time physically based rendering engine for Android, iOS, Windows, Linux, macOS, and WebGL2