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Top 23 Python Kera Projects
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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.
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If OP is using python that might be the output of python's tqdm.
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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.
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pip install git+https://github.com/matterport/Mask_RCNN
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d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
Project mention: d2l-en: Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge. | reddit.com/r/u_TsukiZombina | 2023-01-29 -
Project mention: [D] What is the recommended approach to training NN on big data set? | reddit.com/r/MachineLearning | 2022-12-08
And in case scaling is really important to you. May I suggest you look into Horovod?
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For Python, here's a nice compilation: https://github.com/ml-tooling/best-of-ml-python/blob/main/RE...
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MMdnn
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.
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deepface
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
I bought a On1 license, but as you point out, it has no facial recognition nor any plans to add it. That also means it has no concept of face regions as implemented in XMP, so that cannot be retrofitted by running face recognition externally, e.g. using an open-source solution like Deepface.
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wandb
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Project mention: Efficient way to tune a network by changing hyperparameters? | reddit.com/r/deeplearning | 2023-01-25Wandb is the best! https://wandb.ai/
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Project mention: How can we model an observation space of an env with different features and sizes. | reddit.com/r/reinforcementlearning | 2022-12-20
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textgenrnn
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: How do you get a Python IDE to execute Python code? | reddit.com/r/learnpython | 2022-10-06Thanks! PyCharm seems to work well enough. However, I'm not sure how to run an existing project. I successfully imported this github release: https://github.com/minimaxir/textgenrnn But I don't see any "main" file that can be executed. If I run the "setup.py" file, it complains that there is "no command to be executed." Also, import commands seem to fail, even though I literally have the files in the project that I'm trying to import. :/ I don't know how I'm supposed to run commands defined in the project if they can't be imported into a script.
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I used segmentation-models (https://github.com/qubvel/segmentation_models) to create a deeplabv3+ model. I havent used it in the last 2 months and now i comeback to the same code and cant use it. Getting ModuleNotFoundError: No module named 'segmentation_models_pytorch.deeplabv3'
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image-super-resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Project mention: A tech worker is selling a children's book he made using AI. Professional illustrators are pissed. | reddit.com/r/books | 2022-12-15 -
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Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
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Project mention: [D] Kubernetes for ML - how are y'all doing it? | reddit.com/r/MachineLearning | 2022-04-14
We use Polyaxon and it’s pretty good
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Project mention: Is there any premade evolutionary algorithm selecting optimal NN architectures in TensorFlow ? | reddit.com/r/learnmachinelearning | 2022-10-13
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PINTO_model_zoo
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
Download the ONNX model from this project: 307_YOLOv7
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Project mention: New “distilled diffusion models” research can create high quality images 256x faster with step counts as low as 4 | reddit.com/r/MachineLearning | 2022-10-10
But I'm a kamikaze by nature. I'm already learning Keras and Spektral so that I can write GNN's to predict molecular properties.
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Project mention: How would you annotate resumes for object detection? | reddit.com/r/computervision | 2022-03-11
You can also possibly look at invoice extraction tools such as https://github.com/naiveHobo/InvoiceNet. They solve a similar issue and are researched fairly well, since there is a big market for that.
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Project mention: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, | reddit.com/r/codehunter | 2022-04-30
In Tensorflow/ Keras when running the code from https://github.com/pierluigiferrari/ssd_keras, use the estimator: ssd300_evaluation. I received this error.
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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 2023-01-29.
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Index
What are some of the best open-source Kera projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | data-science-ipython-notebooks | 24,571 |
| 2 | tqdm | 23,904 |
| 3 | Mask_RCNN | 22,613 |
| 4 | d2l-en | 16,321 |
| 5 | horovod | 12,981 |
| 6 | best-of-ml-python | 12,580 |
| 7 | autokeras | 8,728 |
| 8 | einops | 6,316 |
| 9 | MMdnn | 5,669 |
| 10 | deepface | 5,445 |
| 11 | wandb | 5,368 |
| 12 | keras-rl | 5,368 |
| 13 | textgenrnn | 4,851 |
| 14 | segmentation_models | 4,191 |
| 15 | image-super-resolution | 4,010 |
| 16 | pytorch-summary | 3,745 |
| 17 | Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials | 3,333 |
| 18 | polyaxon | 3,239 |
| 19 | keras-tuner | 2,670 |
| 20 | PINTO_model_zoo | 2,420 |
| 21 | spektral | 2,221 |
| 22 | InvoiceNet | 2,110 |
| 23 | ssd_keras | 1,824 |
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