Deeplearning

Top 23 Deeplearning Open-Source Projects

  • faceswap

    Deepfakes Software For All

  • Project mention: faceswap VS facefusion - a user suggested alternative | libhunt.com/r/faceswap | 2024-01-30
  • netron

    Visualizer for neural network, deep learning and machine learning models

  • Project mention: Visualizer for neural network, deep learning and machine learning models | news.ycombinator.com | 2023-12-26
  • 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.

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  • learnopencv

    Learn OpenCV : C++ and Python Examples

  • Project mention: YOLO-NAS Pose | /r/pytorch | 2023-11-16

    Deci's YOLO-NAS Pose: Redefining Pose Estimation! Elevating healthcare, sports, tech, and robotics with precision and speed. Github link and blog link down below! Repo: https://github.com/spmallick/learnopencv/tree/master/YOLO-NAS-Pose

  • AirSim

    Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

  • Project mention: Modding API for old game: Strategies to ensure it runs on older systems while not losing productivity? | /r/REGames | 2023-05-04
  • Machine-Learning-Tutorials

    machine learning and deep learning tutorials, articles and other resources

  • horovod

    Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

  • Deeplearning4j

    Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

  • Project mention: Deeplearning4j Suite Overview | news.ycombinator.com | 2024-03-29
  • 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.

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  • mit-deep-learning-book-pdf

    MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

  • Project mention: Deep Learning Course | news.ycombinator.com | 2023-11-19
  • ludwig

    Low-code framework for building custom LLMs, neural networks, and other AI models

  • Project mention: Show HN: Toolkit for LLM Fine-Tuning, Ablating and Testing | news.ycombinator.com | 2024-04-07

    This is a great project, little bit similar to https://github.com/ludwig-ai/ludwig, but it includes testing capabilities and ablation.

    questions regarding the LLM testing aspect: How extensive is the test coverage for LLM use cases, and what is the current state of this project area? Do you offer any guarantees, or is it considered an open-ended problem?

    Would love to see more progress toward this area!

  • awesome-semantic-segmentation

    :metal: awesome-semantic-segmentation

  • NeMo

    NeMo: a framework for generative AI

  • Project mention: [P] Making a TTS voice, HK-47 from Kotor using Tortoise (Ideally WaveRNN) | /r/MachineLearning | 2023-07-06

    I don't test WaveRNN but from the ones that I know the best that is open source is FastPitch. And it's easy to use, here is the tutorial for voice cloning.

  • awesome-chatgpt-zh

    ChatGPT 中文指南🔥,ChatGPT 中文调教指南,指令指南,应用开发指南,精选资源清单,更好的使用 chatGPT 让你的生产力 up up up! 🚀

  • ML-Papers-of-the-Week

    🔥Highlighting the top ML papers every week.

  • Project mention: [D] Where can I find a list of the foundational academic papers in RL/ML/DL and what are your go-to places to find new academic papers in RL/ML/DL? | /r/MachineLearning | 2023-07-07

    Labml.ai stopped working in May. I like https://github.com/dair-ai/ML-Papers-of-the-Week

  • nebuly

    The user analytics platform for LLMs

  • Project mention: Nebuly – The LLM Analytics Platform | news.ycombinator.com | 2023-10-07
  • introtodeeplearning

    Lab Materials for MIT 6.S191: Introduction to Deep Learning

  • t81_558_deep_learning

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

  • Gorgonia

    Gorgonia is a library that helps facilitate machine learning in Go.

  • Project mention: Machine Learning en GO! 🤯 | /r/golangspanish | 2023-04-26

    GitHub - gorgonia/gorgonia: Gorgonia is a library that helps facilitate machine learning in Go.

  • clearml

    ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

  • Project mention: FLaNK Stack Weekly 12 February 2024 | dev.to | 2024-02-12
  • Learn-Datascience-For-Free

    This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in Twitter.

  • vrn

    :man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

  • datascience

    Curated list of Python resources for data science.

  • MiDaS

    Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

  • Project mention: Distance estimation from monocular vision using deep learning | /r/computervision | 2023-06-13

    Hi, I have made use of the KITTI dataset for this, and yes it depends on objects of know sizes. Here I have defined the following classes: Car, Van, Truck, Pedestrian, Person_sitting, Cyclist, Tram, Misc, or DontCare and the predictions are pretty accurate for those classes. Even if it's not the same class, it still recognizes the object since I have made use of the coco names dataset here and that is used along with YOLO for object detection. And there are several already implemented projects that make use of deep learning models trained on 2D datasets to predict 3D distance. This was one of my inspirations for this project: https://blogs.nvidia.com/blog/2019/06/19/drive-labs-distance-to-object-detection/ Furthermore, there are well-documented and researched papers like DistYOLO or MiDaS that makes use of deep learning for depth estimation

  • Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

    Tools to Design or Visualize Architecture of Neural Network

  • Project mention: Programs to create model architectures schemes | /r/learnmachinelearning | 2023-05-31

    I can recommend this repo it offers a lot of visualization methods for neural networks.

  • 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). The latest post mention was on 2024-04-07.

Deeplearning related posts

Index

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

Project Stars
1 faceswap 49,112
2 netron 25,963
3 learnopencv 20,333
4 AirSim 15,844
5 Machine-Learning-Tutorials 14,817
6 horovod 13,942
7 Deeplearning4j 13,408
8 mit-deep-learning-book-pdf 12,284
9 ludwig 10,778
10 awesome-semantic-segmentation 10,220
11 NeMo 9,951
12 awesome-chatgpt-zh 9,817
13 ML-Papers-of-the-Week 8,647
14 nebuly 8,368
15 introtodeeplearning 6,833
16 t81_558_deep_learning 5,661
17 Gorgonia 5,326
18 clearml 5,217
19 Learn-Datascience-For-Free 4,998
20 vrn 4,500
21 datascience 4,062
22 MiDaS 4,057
23 Tools-to-Design-or-Visualize-Architecture-of-Neural-Network 4,021
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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