Python neural-networks

Open-source Python projects categorized as neural-networks

Top 23 Python neural-network Projects

  • Keras

    Deep Learning for humans

    Project mention: How to query pandas DataFrames with SQL | dev.to | 2023-02-01

    Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more.

  • faceswap

    Deepfakes Software For All

    Project mention: [D] How is it checked if models do not just memorize their training examples? | reddit.com/r/MachineLearning | 2022-04-28

    But there's a nice survey on Arxiv here of various deepfake / face swap methods. Some of methods listed in the table on page 4, such as Faceswap and Faceswap-GAN, apparently use encoder-decoder models. I think Faceswap-GAN was the one that I was thinking of in particular; apparently it adds a perceptual loss and an adversarial loss to an autoencoder.

  • Sonar

    Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

  • DeepFaceLab

    DeepFaceLab is the leading software for creating deepfakes.

    Project mention: He's coming for Miss Cleo's crown | reddit.com/r/PoliticalHumor | 2022-12-25

    We have the technology....

  • pytorch-tutorial

    PyTorch Tutorial for Deep Learning Researchers

    Project mention: PyTorch - What does contiguous() do? | reddit.com/r/codehunter | 2022-03-29

    I was going through this example of a LSTM language model on github (link).What it does in general is pretty clear to me. But I'm still struggling to understand what calling contiguous() does, which occurs several times in the code.

  • spaCy

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

    Project mention: How to get Started with Data And Help Your Community | dev.to | 2023-01-23

    Tools: Hugging Face SpaCy Scikit-Learn MLFlow There is no flag to discern a human owner vs a corporate entity, so you have to figure it out on your own. ML can assist given there are tens of thousands of records to go.

  • fast-style-transfer

    TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

  • segmentation_models.pytorch

    Segmentation models with pretrained backbones. PyTorch.

    Project mention: Medical Image Segmentation Human Retina | reddit.com/r/computervision | 2023-01-19

    This basic example from segmentation models PyTorch repo would be good tutorial to start with. The library is very good, I like the unet, fpn and deeplabv3+ architectures with regnety as encoder https://github.com/qubvel/segmentation_models.pytorch/blob/master/examples/binary_segmentation_intro.ipynb

  • InfluxDB

    Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.

  • pyod

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

    Project mention: Pyod – A Comprehensive and Scalable Python Library for Outlier Detection | news.ycombinator.com | 2022-08-10
  • chainer

    A flexible framework of neural networks for deep learning

    Project mention: Protip: the upscaler matters a lot | reddit.com/r/StableDiffusion | 2023-01-13

    Sorry maybe someone could chime in and help but I use chainer to upscale. https://github.com/chainer/chainer

  • keras-rl

    Deep Reinforcement Learning for Keras.

    Project mention: How can we model an observation space of an env with different features and sizes. | reddit.com/r/reinforcementlearning | 2022-12-20
  • graph_nets

    Build Graph Nets in Tensorflow

    Project mention: [D] Graph neural networks | reddit.com/r/MachineLearning | 2022-11-02

    You can also have a look at these later surveys that give an idea of the different types of GNNs. Also if you prefer Tensorflow you can use the Graph Nets library.

  • Augmentor

    Image augmentation library in Python for machine learning.

    Project mention: Improve Your Deep Learning Models with Image Augmentation | dev.to | 2022-04-05

    There are many good options when it comes to tools and libraries for implementing data augmentation into our deep learning pipeline. You could for instance do your own augmentations using NumPy or Pillow. Some of the most popular dedicated libraries for image augmentation include Albumentations, imgaug, and Augmentor. Both TensorFlow and PyTorch even come with their own packages dedicated to image augmentation.

  • gluonts

    Probabilistic time series modeling in Python

    Project mention: [Q] `py.typed` and `.typesafe` | reddit.com/r/learnpython | 2023-01-23

    I was looking at [`gluonts`](https://github.com/awslabs/gluonts/tree/dev/src/gluonts/core) source code and I found a `py.typed` file. That is something I always put in my type-annotated modules: it's literally an empty file which denotes that the module is marked for "internal or external use in type checking" [mypy docs](https://mypy.readthedocs.io/en/stable/installed_packages.html?highlight=py.typed#creating-pep-561-compatible-packages). However, I never saw before the `.typesafe` file. What does it denote? Does it have to be used alongside a `py.typed`?

  • hummingbird

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

    Project mention: [D] GPU-enabled scikit-learn | reddit.com/r/MachineLearning | 2022-12-30

    If are interested in just predictions you can try Hummingbird. It is part of the PyTorch ecosystem. We get already trained scikit-learn models and translate them into PyTorch models. From them you can run your model on any hardware support by PyTorch, export it into TVM, ONNX, etc. Performance on hardware acceleration is quite good (orders of magnitude better than scikit-learn is some cases)

  • dm_control

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

    Project mention: Installing & Using MuJoCo 2.1.5 with OpenAi Gym | reddit.com/r/reinforcementlearning | 2022-05-18

    Deepmind Control Suite is a good alternative to Open AI Gym for continuous control tasks. It contains many of the environments present in Gym and also a few extra ones. Deepmind Control Suite also uses Mujoco. I found the installation to be straightforward. Check out https://github.com/deepmind/dm_control

  • igel

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

  • composer

    Train neural networks up to 7x faster (by mosaicml)

    Project mention: [D] Am I stupid for avoiding high level frameworks? | reddit.com/r/MachineLearning | 2022-11-23

    You may consider using Composer Composer by MosaicML.

  • BigGAN-PyTorch

    The author's officially unofficial PyTorch BigGAN implementation.

    Project mention: I'm looking for an AI Art generator from images | reddit.com/r/github | 2023-01-03

    BigGAN (https://github.com/ajbrock/BigGAN-PyTorch) - This is a PyTorch implementation of the BigGAN model for generating high-resolution images. It is trained on a large dataset and can generate a wide range of images, including photographs of animals, objects, and landscapes.

  • GAT

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

    Project mention: [D] Dr. Petar Veličković (Deepmind) - Categories, Graphs, Reasoning and Graph Expander Propagation | reddit.com/r/MachineLearning | 2022-12-09

    Found relevant code at https://github.com/PetarV-/GAT + all code implementations here

  • pytorch-forecasting

    Time series forecasting with PyTorch

    Project mention: LSTM/CNN architectures for time series forecasting[Discussion] | reddit.com/r/MachineLearning | 2022-05-06

    Pytorch-forecasting

  • dm-haiku

    JAX-based neural network library

    Project mention: Help with installing python packages. | reddit.com/r/NixOS | 2022-08-18

    I am fresh to nix os especially when it comes to using python on it how do I install packages withought using pip I need to install numpy~=1.19.5 transformers~=4.8.2 tqdm~=4.45.0 setuptools~=51.3.3 wandb>=0.11.2 einops~=0.3.0 requests~=2.25.1 fabric~=2.6.0 optax==0.0.6 git+https://github.com/deepmind/dm-haiku git+https://github.com/EleutherAI/lm-evaluation-harness/ ray[default]==1.4.1 jax~=0.2.12 Flask~=1.1.2 cloudpickle~=1.3.0 tensorflow-cpu~=2.5.0 google-cloud-storage~=1.36.2 smart_open[gcs] func_timeout ftfy fastapi uvicorn lm_dataformat ​ which‍ I can just do pip -r thetxtfile but idk how to do this in nix os also I would be using python3.7 so far this is what I have come up with but I know its wrong { pkgs ? import {} }: let packages = python-packages: with python-packages; [ mesh-transformer-jax/ jax==0.2.12 numpy~=1.19.5 transformers~=4.8.2 tqdm~=4.45.0 setuptools~=51.3.3 wandb>=0.11.2 einops~=0.3.0 requests~=2.25.1 fabric~=2.6.0 optax==0.0.6 #the other packages ]; pkgs.mkShell { nativeBuildInputs = [ pkgs.buildPackages.python37 ]; }

  • NCRFpp

    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.

  • transfer-learning-conv-ai

    🦄 State-of-the-Art Conversational AI with Transfer Learning

    Project mention: [D] [R] Dialogue generation with contrastive objectives | reddit.com/r/MachineLearning | 2022-06-07

    Code for https://arxiv.org/abs/1901.08149 found: https://github.com/huggingface/transfer-learning-conv-ai

  • SaaSHub

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

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 2023-02-01.

Python neural-networks related posts

Index

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

Project Stars
1 Keras 57,203
2 faceswap 43,325
3 DeepFaceLab 36,976
4 pytorch-tutorial 25,543
5 spaCy 25,101
6 fast-style-transfer 10,648
7 segmentation_models.pytorch 6,728
8 pyod 6,677
9 chainer 5,765
10 keras-rl 5,368
11 graph_nets 5,216
12 Augmentor 4,850
13 gluonts 3,318
14 hummingbird 3,085
15 dm_control 3,049
16 igel 3,024
17 composer 2,934
18 BigGAN-PyTorch 2,637
19 GAT 2,627
20 pytorch-forecasting 2,561
21 dm-haiku 2,349
22 NCRFpp 1,846
23 transfer-learning-conv-ai 1,532
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com