Top 23 Python Kera Projects
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.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlowProject mention: Open source - that means free to use commercially right? ... right? | reddit.com/r/deepdream | 2021-12-04
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
A Fast, Extensible Progress Bar for Python and CLI
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.Project mention: The Transformer in Machine Translation | reddit.com/r/MindSporeOSS | 2022-01-13
GitHub's article on Dive into Deep Learning
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.Project mention: [D] PyTorch Distributed Training Libraries: What are the current options? | reddit.com/r/MachineLearning | 2021-12-07
Check out Horovod - https://github.com/horovod/horovod
AutoML library for deep learning
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.Project mention: Awesome list of ML | reddit.com/r/programming | 2021-09-16
OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.Project mention: [R] Importing TensorFlow neural networks stored as *.h5 | reddit.com/r/MachineLearning | 2021-12-06
The only way I found online is to convert the *.h5 files to MXNet files using Microsoft model management of deep neural networks (link)
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.Project mention: I trained a neural network on every town and village name in England and then made a website that lets you generate them | reddit.com/r/unitedkingdom | 2021-08-30
This is an utterly fantastic question but I actually don't understand much about neural nets at all, and am just using a prebuilt python library is basically text based neural nets for idiots (https://github.com/minimaxir/textgenrnn) Happy to share data though if you want to find this out and would know how?
Deep learning operations reinvented (for pytorch, tensorflow, jax and others)Project mention: [D] What are your favorite tools to visualize/explain tensor operations? | reddit.com/r/MachineLearning | 2022-01-11
einops: just look at the pretty visual GIF and be amazed
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API. (by wandb)Project mention: What's a sequel that got you thinking "the people who made this COMPLETELY missed the point of the first one"? | reddit.com/r/movies | 2022-01-16
does current cgi and ai tech can bring back leslie nielsen? might use unreal engine and https://www.resemble.ai/ or https://wandb.ai/?
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.Project mention: Can we use autoencoders to change an existing image instead of create one from scratch? | reddit.com/r/learnmachinelearning | 2021-12-13
So, image segmentation (especially for satellite images) is a known problem. Search for semantic segmentation and unet (a model used for semantic segmentation). Also, if you use tensorflow there is this library which I found useful segmentation models.
Model summary in PyTorch similar to `model.summary()` in KerasProject mention: Conv3D | reddit.com/r/pytorch | 2022-01-13
could try this package, pytorch-summary package if you havent
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.Project mention: [P] Tutorial on using image super-resolution without Photoshop | reddit.com/r/learnmachinelearning | 2021-12-11
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for PythonProject mention: Face recognition | reddit.com/r/neuralnetworks | 2021-12-23
I highly suggest using a one-shot learning model like DeepFace. It works with just one photograph and you can use its verify function to get if it’s a match or not by comparing two images. It will have to iterate to compare each known face with the unknown image until it gets a match, but I imagine it will be better financially and efficiently than running thousands of jobs for Azure.
Machine Learning Management & Orchestration Platform (Monorepo for Polyaxon's MLOps Tools)Project mention: [D] Productionalizing machine learning pipelines for small teams | reddit.com/r/MachineLearning | 2021-08-08
For running experiments, http://polyaxon.com/ is a really good free open-source package that has lots of nice integrations so you can quickly run experiments in k8s but it might be overkill in some cases.
Graph Neural Networks with Keras and Tensorflow 2.Project mention: tf-based framework for graph neural networks? | reddit.com/r/tensorflow | 2021-11-05
Has any library emerged as the clear leader in the TensorFlow Graph Neural Network space? A quick search revealed Spektral.
Deep neural network to extract intelligent information from invoice documents.Project mention: Pdfsandwich | news.ycombinator.com | 2021-11-06
A Keras port of Single Shot MultiBox DetectorProject mention: Shared weights between different implementations | reddit.com/r/learnmachinelearning | 2022-01-01
Yeah, the order of axes was different between those 2. Another guy used https://github.com/pierluigiferrari/ssd_keras https://github.com/uhfband/keras2caffe/blob/master/keras2caffe/convert.py probably not much actual use but maybe some more reassurance?
Convolutional Neural Networks to predict the aesthetic and technical quality of images.Project mention: Extracting Images from Video | reddit.com/r/computervision | 2021-03-11
A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]Project mention: Loading Saved Models for transfer learning | reddit.com/r/tensorflow | 2021-08-02
Check it out https://github.com/PINTO0309/PINTO_model_zoo
make ASCII Art by Deep LearningProject mention: Why do all image to text conversion tools work based on brightness and not finding the most similar character? | reddit.com/r/asciiart | 2021-09-08
Not all. See for example DeepAA.
Advanced Deep Learning with Keras, published by PacktProject mention: Cannot understand how REINFORCE model is trained | reddit.com/r/reinforcementlearning | 2021-03-04
I have understood the concept of REINFORCE algorithm and what policy gradient is. However, when I see the code published by PacktPublishing, I was stuck with it.
Python Keras related posts
What's a sequel that got you thinking "the people who made this COMPLETELY missed the point of the first one"?
2 projects | reddit.com/r/movies | 16 Jan 2022
What MLOps tools and processes do you use?
1 project | reddit.com/r/deeplearning | 7 Jan 2022
Shared weights between different implementations
2 projects | reddit.com/r/learnmachinelearning | 1 Jan 2022
[D] Best resources or tools to draw nicer table for comparing different models/frameworks performance
1 project | reddit.com/r/MachineLearning | 29 Dec 2021
Can we use autoencoders to change an existing image instead of create one from scratch?
1 project | reddit.com/r/learnmachinelearning | 13 Dec 2021
[P] Tutorial on using image super-resolution without Photoshop
1 project | reddit.com/r/learnmachinelearning | 11 Dec 2021
[P] Tutorial on using image super-resolution without Photoshop
1 project | reddit.com/r/learnprogramming | 11 Dec 2021
What are some of the best open-source Kera projects in Python? This list will help you:
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