Python Deep Learning

Open-source Python projects categorized as Deep Learning
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Topics: Machine Learning Pytorch Python Computer Vision Tensorflow
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Top 23 Python Deep Learning Projects

  • stable-diffusion-webui

    Stable Diffusion web UI

    • Project mention: Show HN: I made an app to use local AI as daily driver | news.ycombinator.com | 2024-02-27

    * LLaVA model: I'll add more documentation. You are right Llava could not generate images. For image generation I don't have immediate plans, but checkout these projects for local image generation.

    - https://diffusionbee.com/

    - https://github.com/comfyanonymous/ComfyUI

    - https://github.com/AUTOMATIC1111/stable-diffusion-webui

  • transformers

    🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

    • Project mention: Maxtext: A simple, performant and scalable Jax LLM | news.ycombinator.com | 2024-04-23

    Is t5x an encoder/decoder architecture?

    Some more general options.

    The Flax ecosystem

    https://github.com/google/flax?tab=readme-ov-file

    or dm-haiku

    https://github.com/google-deepmind/dm-haiku

    were some of the best developed communities in the Jax AI field

    Perhaps the “trax” repo? https://github.com/google/trax

    Some HF examples https://github.com/huggingface/transformers/tree/main/exampl...

    Sadly it seems much of the work is proprietary these days, but one example could be Grok-1, if you customize the details. https://github.com/xai-org/grok-1/blob/main/run.py

  • 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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  • Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    • Project mention: My Favorite DevTools to Build AI/ML Applications! | dev.to | 2024-04-23

    TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.

  • Keras

    Deep Learning for humans

    • Project mention: My Favorite DevTools to Build AI/ML Applications! | dev.to | 2024-04-23

    As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development.

  • Real-Time-Voice-Cloning

    Clone a voice in 5 seconds to generate arbitrary speech in real-time

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

  • faceswap

    Deepfakes Software For All

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

  • yolov5

    YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

    • Project mention: จำแนกสายพันธ์ุหมากับแมวง่ายๆด้วยYoLoV5 | dev.to | 2024-04-15

    Ref https://www.youtube.com/watch?v=0GwnxFNfZhM https://github.com/ultralytics/yolov5 https://dev.to/gfstealer666/kaaraich-yolo-alkrithuemainkaartrwcchcchabwatthu-object-detection-3lef https://www.kaggle.com/datasets/devdgohil/the-oxfordiiit-pet-dataset/data

  • InfluxDB

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  • ColossalAI

    Making large AI models cheaper, faster and more accessible

    • Project mention: FLaNK AI-April 22, 2024 | dev.to | 2024-04-22

  • Deep-Learning-Papers-Reading-Roadmap

    Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

  • GFPGAN

    GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

    • Project mention: Ask HN: What is the state of the art in AI photo enhancement? | news.ycombinator.com | 2024-01-24

  • MockingBird

    🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time

  • DeepSpeed

    DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

    • Project mention: Can we discuss MLOps, Deployment, Optimizations, and Speed? | /r/LocalLLaMA | 2023-12-06

    DeepSpeed can handle parallelism concerns, and even offload data/model to RAM, or even NVMe (!?) . I'm surprised I don't see this project used more.

  • streamlit

    Streamlit — A faster way to build and share data apps.

    • Project mention: Creating a Sales Analysis Application with Streamlit: A Practical Approach to Business Intelligence | dev.to | 2024-04-19

    2.-Go to https://streamlit.io, log in, and create a new app from your GitHub repository.

  • Ray

    Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

    • Project mention: Open Source Advent Fun Wraps Up! | dev.to | 2024-01-05

    22. Ray | Github | tutorial

  • pytorch-tutorial

    PyTorch Tutorial for Deep Learning Researchers

  • TTS

    🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

    • Project mention: OpenAI deems its voice cloning tool too risky for general release | news.ycombinator.com | 2024-03-31

    lol this marketing technique is getting very old. https://github.com/coqui-ai/TTS is already amazing and open source.

  • stanford_alpaca

    Code and documentation to train Stanford's Alpaca models, and generate the data.

    • Project mention: How Open is Generative AI? Part 2 | dev.to | 2023-12-19

    Alpaca is an instruction-oriented LLM derived from LLaMA, enhanced by Stanford researchers with a dataset of 52,000 examples of following instructions, sourced from OpenAI’s InstructGPT through the self-instruct method. The extensive self-instruct dataset, details of data generation, and the model refinement code were publicly disclosed. This model complies with the licensing requirements of its base model. Due to the utilization of InstructGPT for data generation, it also adheres to OpenAI’s usage terms, which prohibit the creation of models competing with OpenAI. This illustrates how dataset restrictions can indirectly affect the resulting fine-tuned model.

  • gradio

    Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

    • Project mention: Show HN: Dropbase – Build internal web apps with just Python | news.ycombinator.com | 2023-12-05

    There's also that library all the AI models started using that gives you a public URL to share. After researching it: https://www.gradio.app/ is the link.

    It's used specifically for making simple UIs for machine learning apps. But I guess technically you could use it for anything.

  • spaCy

    💫 Industrial-strength Natural Language Processing (NLP) in Python

    • Project mention: Step by step guide to create customized chatbot by using spaCy (Python NLP library) | dev.to | 2024-03-23

    Hi Community, In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):

  • pytorch-lightning

    Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

    • Project mention: Lightning AI Studios – A persistent GPU cloud environment | news.ycombinator.com | 2023-12-14

  • data-science-ipython-notebooks

    Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  • spleeter

    Deezer source separation library including pretrained models.

    • Project mention: Are stems a good way of making mashups | /r/Beatmatch | 2023-12-10

    virtual dj and others stem separator is shrinked model of this https://github.com/deezer/spleeter you will get better results downloading original + their large model.

  • ML-From-Scratch

    Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

  • 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).

Python Deep Learning related posts

Index

What are some of the best open-source Deep Learning projects in Python? This list will help you:

Project Stars
1 stable-diffusion-webui 129,299
2 transformers 124,557
3 Pytorch 77,783
4 Keras 60,902
5 Real-Time-Voice-Cloning 50,738
6 faceswap 49,178
7 yolov5 46,738
8 ColossalAI 37,836
9 Deep-Learning-Papers-Reading-Roadmap 37,120
10 GFPGAN 34,533
11 MockingBird 33,796
12 DeepSpeed 32,550
13 streamlit 31,506
14 Ray 30,988
15 pytorch-tutorial 29,093
16 TTS 28,959
17 stanford_alpaca 28,761
18 gradio 28,730
19 spaCy 28,704
20 pytorch-lightning 26,797
21 data-science-ipython-notebooks 26,459
22 spleeter 24,878
23 ML-From-Scratch 23,131

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