Python neural-networks

Open-source Python projects categorized as neural-networks

Top 23 Python neural-network Projects

neural-networks
  • Keras

    Deep Learning for humans

  • Project mention: Using Google Magika to build an AI-powered file type detector | dev.to | 2024-06-13

    The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models.

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  • faceswap

    Deepfakes Software For All

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

    PyTorch Tutorial for Deep Learning Researchers

  • spaCy

    πŸ’« Industrial-strength Natural Language Processing (NLP) in Python

  • Project mention: How I discovered Named Entity Recognition while trying to remove gibberish from a string. | dev.to | 2024-05-06
  • fast-style-transfer

    TensorFlow CNN for fast style transfer ⚑πŸ–₯πŸŽ¨πŸ–Ό

  • NeMo

    A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

  • 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.

  • Keras-GAN

    Keras implementations of Generative Adversarial Networks.

  • 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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  • petals

    🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

  • Project mention: Chameleon: Meta's New Multi-Modal LLM | news.ycombinator.com | 2024-05-21

    Things like [petals](https://github.com/bigscience-workshop/petals) exist, distributed computing over willing participants. Right now corporate cash is being rammed into the space so why not snap it up while you can, but the moment it dries up projects like petals will see more of the love they deserve.

    I envision a future where crypto-style booms happen over tokens useful for purchasing priority computational time, which is earned by providing said computational time. This way researchers can daisy-chain their independent smaller rigs together into something with gargantuan capabilities.

  • pyod

    A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

  • Project mention: A Comprehensive Guide for Building Rag-Based LLM Applications | news.ycombinator.com | 2023-09-13

    This is a feature in many commercial products already, as well as open source libraries like PyOD. https://github.com/yzhao062/pyod

  • chainer

    A flexible framework of neural networks for deep learning

  • Project mention: ChaiNNer – Node/Graph based image processing and AI upscaling GUI | news.ycombinator.com | 2023-07-19

    There is already an AI framework named Chainer: https://github.com/chainer/chainer

  • keras-rl

    Deep Reinforcement Learning for Keras.

  • graph_nets

    Build Graph Nets in Tensorflow

  • composer

    Supercharge Your Model Training (by mosaicml)

  • Project mention: Composer – A PyTorch Library for Efficient Neural Network Training | news.ycombinator.com | 2023-08-18
  • Augmentor

    Image augmentation library in Python for machine learning.

  • gluonts

    Probabilistic time series modeling in Python

  • Project mention: Show HN: Auto Wiki v2 – Turn your codebase into a Wiki now with diagrams | news.ycombinator.com | 2024-04-23

    https://github.com/awslabs/gluonts is a great candidate for a sample wiki. It is an OSS lib, not great documentation, very hard to RTFM (unlike, say, sklearn which already has a great wiki), doubtful that awslabs would pay to produce.

  • llm-foundry

    LLM training code for Databricks foundation models

  • Project mention: Fine Tuning Mistral 7B on Magic the Gathering Draft | news.ycombinator.com | 2023-12-05

    Related comment from gwern: https://news.ycombinator.com/item?id=38438859

    Also - why qlora rather than a full finetune? Using LambdaLabs, It'd cost roughly the same as your quote. Cheaper I think if you're willing to gamble with fp8: https://github.com/mosaicml/llm-foundry/tree/main/scripts/tr.... And fewer hyperparameters to tune as well

  • pytorch-forecasting

    Time series forecasting with PyTorch

  • Project mention: FLaNK Stack Weekly for 14 Aug 2023 | dev.to | 2023-08-14
  • dm_control

    Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

  • hummingbird

    Hummingbird compiles trained ML models into tensor computation for faster inference.

  • igel

    a delightful machine learning tool that allows you to train, test, and use models without writing code

  • GAT

    Graph Attention Networks (https://arxiv.org/abs/1710.10903)

  • dm-haiku

    JAX-based neural network library

  • 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 β€œtrax” 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

  • BigGAN-PyTorch

    The author's officially unofficial PyTorch BigGAN implementation.

  • 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).

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Python neural-networks related posts

  • Ask HN: If you are a Machine Learning engineer, what do you do at work?

    2 projects | news.ycombinator.com | 7 Jun 2024
  • Side Quest #3: maybe the real Deepfakes were the friends we made along the way

    3 projects | dev.to | 20 May 2024
  • Show HN: Auto Wiki v2 – Turn your codebase into a Wiki now with diagrams

    1 project | news.ycombinator.com | 23 Apr 2024
  • Release: Keras 3.3.0

    1 project | news.ycombinator.com | 22 Apr 2024
  • Fundamental Components of Deep Learning (category theory) [pdf]

    1 project | news.ycombinator.com | 13 Mar 2024
  • Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory

    2 projects | news.ycombinator.com | 2 Jan 2024
  • Mamba-Chat: A Chat LLM based on State Space Models

    6 projects | /r/LocalLLaMA | 7 Dec 2023
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Index

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

Project Stars
1 Keras 61,179
2 faceswap 49,644
3 pytorch-tutorial 29,317
4 spaCy 29,030
5 fast-style-transfer 10,887
6 NeMo 10,395
7 Keras-GAN 9,154
8 petals 8,819
9 pyod 8,072
10 chainer 5,871
11 keras-rl 5,497
12 graph_nets 5,331
13 composer 5,053
14 Augmentor 5,040
15 gluonts 4,383
16 llm-foundry 3,796
17 pytorch-forecasting 3,700
18 dm_control 3,603
19 hummingbird 3,311
20 igel 3,080
21 GAT 3,045
22 dm-haiku 2,827
23 BigGAN-PyTorch 2,814

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