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Top 23 Kera Open-Source 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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you try to run an python script that requires the tqdm package and also a regex package (what normally should be installed, when installing python). Blender tries to install these packages without success. You probably have to do it on your own by installing them in your pythons virtual environment.
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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.
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pip install git+https://github.com/matterport/Mask_RCNN
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Project mention: Is it theoretically possible to convert TFLite models back to Keras? | reddit.com/r/learnmachinelearning | 2023-03-07
I couldn't find any publicly available tools for this, so I'm planning on creating one. I just wanted to check if there's any obvious barrier that makes it impossible for this to happen. My reasoning is that if tools like netron.app can analyze and visually represent the layers/ops of the TFLite file, it should also be possible to automatically convert those layers to Keras code? Copying the weights should be easier, as they can be read from the TFLite file and copied to the Keras model using the set_weights() method.
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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 -
ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Project mention: [D] Best way to package Pytorch models as a standalone application | reddit.com/r/MachineLearning | 2023-01-06They're using NCNN to package the model. Have a look. https://github.com/Tencent/NCNN
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Broke: using Horovod
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
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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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Project mention: [D] Have their been any attempts to create a programming language specifically for machine learning? | reddit.com/r/MachineLearning | 2023-02-11
Einops all the things! https://einops.rocks/
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Project mention: Tools for object detection on satellite images | reddit.com/r/computervision | 2023-03-02
This repo has been useful to me: https://github.com/satellite-image-deep-learning/techniques
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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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wandb
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Project mention: The last sentence of Lowes conveniently missing from OpenAI... | reddit.com/r/memes | 2023-02-19HuggingFace and wandb.ai (both competitors of OpenAI) both also have "do own research"
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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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t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
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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 -
machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
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SaaSHub
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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 2023-03-07.
Keras related posts
- Automated “Internal” Web Application Penetration Testing
- Ask HN: Best pretrained OCR model for dashcam footage?
- NNViz can visualize any pytorch model
- The last sentence of Lowes conveniently missing from OpenAI...
- Way to convert keras based model to C++.
- Dúvida I.As
- Sub ms - 3ms Latency Vision task on FPGA
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A note from our sponsor - #<SponsorshipServiceOld:0x00007f160cd27098>
www.saashub.com | 23 Mar 2023
Index
What are some of the best open-source Kera projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | data-science-ipython-notebooks | 24,785 |
| 2 | tqdm | 24,251 |
| 3 | Mask_RCNN | 22,805 |
| 4 | netron | 21,637 |
| 5 | d2l-en | 16,941 |
| 6 | ncnn | 16,648 |
| 7 | horovod | 13,111 |
| 8 | best-of-ml-python | 13,023 |
| 9 | autokeras | 8,779 |
| 10 | einops | 6,536 |
| 11 | techniques | 6,074 |
| 12 | MMdnn | 5,696 |
| 13 | wandb | 5,661 |
| 14 | keras-rl | 5,389 |
| 15 | Practical_RL | 5,273 |
| 16 | t81_558_deep_learning | 5,248 |
| 17 | Keras.js | 4,924 |
| 18 | textgenrnn | 4,877 |
| 19 | segmentation_models | 4,251 |
| 20 | BigDL | 4,175 |
| 21 | unet | 4,140 |
| 22 | image-super-resolution | 4,010 |
| 23 | machine_learning_complete | 3,851 |
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