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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.
A Fast, Extensible Progress Bar for Python and CLIProject mention: [2022 Day11 (Part2)] [python] brute force | reddit.com/r/adventofcode | 2022-12-11
If OP is using python that might be the output of python's tqdm.
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.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlowProject mention: Why are python dependencies so broken? | reddit.com/r/Python | 2022-12-22
pip install git+https://github.com/matterport/Mask_RCNN
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
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.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?
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.Project mention: Ask HN: How to get back into AI? | news.ycombinator.com | 2022-12-10
For Python, here's a nice compilation: https://github.com/ml-tooling/best-of-ml-python/blob/main/RE...
AutoML library for deep learningProject mention: Machine Learning Algorithms Cheat Sheet | news.ycombinator.com | 2022-02-19
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Deep learning operations reinvented (for pytorch, tensorflow, jax and others)Project mention: Delimiter-First Code | news.ycombinator.com | 2022-12-09
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.
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for PythonProject mention: DAM with face recognition | reddit.com/r/AffinityPhoto | 2022-12-02
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.
🔥 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 | 2023-01-25
Wandb is the best! https://wandb.ai/
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
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 | 2022-10-06
Thanks! 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.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.Project mention: segmentation-models No module Error | reddit.com/r/computervision | 2022-10-04
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'
🔎 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
Model summary in PyTorch similar to `model.summary()` in Keras
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.Project mention: Cool Github repositories for Everyone | dev.to | 2022-12-29
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycleProject 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
A Hyperparameter Tuning Library for KerasProject mention: Is there any premade evolutionary algorithm selecting optimal NN architectures in TensorFlow ? | reddit.com/r/learnmachinelearning | 2022-10-13
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.Project mention: YOLOv7 object detection in Ruby in 10 minutes | dev.to | 2022-07-26
Download the ONNX model from this project: 307_YOLOv7
Graph Neural Networks with Keras and Tensorflow 2.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.
Deep neural network to extract intelligent information from invoice documents.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.
A Keras port of Single Shot MultiBox DetectorProject 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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What are some of the best open-source Kera projects in Python? This list will help you: