convolutional-neural-networks

Open-source projects categorized as convolutional-neural-networks

Top 23 convolutional-neural-network Open-Source Projects

  • Anime4K

    A High-Quality Real Time Upscaler for Anime Video

  • Project mention: AI Made These Movies Sharper. Critics Say It Ruined Them. | news.ycombinator.com | 2024-04-15

    I watch AI enhanced movies and/or shows every day when I use Anime4K, a real-time ML upscaler for anime https://github.com/bloc97/Anime4K

    If you give shit-tier blurry DVD messes, it turns them into nicer blurry messes.

    If you give it the usual bitrate starved streaming quality show, it looks almost as nice as a blueray.

    If you give it a blueray... It basically comes out looking exactly the same. I'll usually still add its "darken lines" filter since I'm a fan of strong linework.

  • Brain.js

    🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js

  • Project mention: JavaScript Libraries for Implementing Trendy Technologies in Web Apps in 2024 | dev.to | 2024-04-09

    Brain.js

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • fashion-mnist

    A MNIST-like fashion product database. Benchmark :point_down:

  • Project mention: Logistic Regression for Image Classification Using OpenCV | news.ycombinator.com | 2023-12-31

    In this case there's no advantage to using logistic regression on an image other than the novelty. Logistic regression is excellent for feature explainability, but you can't explain anything from an image.

    Traditional classification algorithms but not deep learning such as SVMs and Random Forest perform a lot better on MNIST, up to 97% accuracy compared to the 88% from logistic regression in this post. Check the Original MNIST benchmarks here: http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/#

  • Pytorch-UNet

    PyTorch implementation of the U-Net for image semantic segmentation with high quality images

  • techniques

    Techniques for deep learning with satellite & aerial imagery

  • Project mention: What satellite image analytics are in demand now? | /r/gis | 2023-06-26
  • darkflow

    Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

  • t81_558_deep_learning

    T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
  • image-super-resolution

    🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

  • interviews.ai

    It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

  • Project mention: Deep Learning Interviews | news.ycombinator.com | 2023-05-05
  • Efficient-AI-Backbones

    Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

  • Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

    A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

  • machine-learning-articles

    🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

  • Super-SloMo

    PyTorch implementation of Super SloMo by Jiang et al.

  • self-driving-car

    Udacity Self-Driving Car Engineer Nanodegree projects. (by ndrplz)

  • coursera-deep-learning-specialization

    Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

  • Project mention: coursera-deep-learning-specialization: NEW Courses - star count:2327.0 | /r/algoprojects | 2023-11-21
  • turkce-yapay-zeka-kaynaklari

    Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.

  • image-quality-assessment

    Convolutional Neural Networks to predict the aesthetic and technical quality of images.

  • Bender

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

  • quiver

    Interactive convnet features visualization for Keras (by keplr-io)

  • sod

    An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

  • Project mention: Ask HN: Who is hiring? (September 2023) | news.ycombinator.com | 2023-09-01

    PixLab (https://pixlab.io) & FACEIO (https://faceio.net) | Full-or-part-time | Remote | Computer Vision / Full stack Engineers |

    PixLab, a leading provider of Machine Vision, Face Recognition & Media Processing APIs is looking for:

    * Embedded C & Computer Vision engineer(s) to work on the SOD (https://sod.pixlab.io), embedded computer vision library.

    * Senior Python engineer with proficiency in PyTorch to work on FACEIO (https://faceio.net), our facial authentication web framework for web sites & apps.

    * C++ developer with ML expertise to work on the port of Tiny-Dream (https://pixlab.io/tiny-dream), our embedded Stable Diffusion C++ library from ncnn to ggml.

    * React/Vue JS Web developer(s) with expertise in fabric.js to work on a brand new, web based photo editing software backed by generative AI.

    Reach out to Vincent via contact AT pixlab.io with your resume if interested.

  • XNNPACK

    High-efficiency floating-point neural network inference operators for mobile, server, and Web

  • Project mention: Xnnpack: High-efficiency floating-point neural network inference operators | news.ycombinator.com | 2023-12-25
  • dl-4-tsc

    Deep Learning for Time Series Classification

  • grenade

    Deep Learning in Haskell

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

convolutional-neural-networks related posts

Index

What are some of the best open-source convolutional-neural-network projects? This list will help you:

Project Stars
1 Anime4K 17,723
2 Brain.js 14,189
3 fashion-mnist 11,439
4 Pytorch-UNet 8,358
5 techniques 7,739
6 darkflow 6,131
7 t81_558_deep_learning 5,666
8 image-super-resolution 4,493
9 interviews.ai 4,437
10 Efficient-AI-Backbones 3,783
11 Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials 3,638
12 machine-learning-articles 3,073
13 Super-SloMo 2,965
14 self-driving-car 2,690
15 coursera-deep-learning-specialization 2,679
16 turkce-yapay-zeka-kaynaklari 2,197
17 image-quality-assessment 2,000
18 Bender 1,785
19 quiver 1,735
20 sod 1,714
21 XNNPACK 1,697
22 dl-4-tsc 1,447
23 grenade 1,440

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