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Improve Your Deep Learning Models with Image Augmentation
2 projects | dev.to | 5 Apr 2022
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.
[N] Facebook AI Open Sources AugLy: A New Python Library For Data Augmentation To Develop Robust Machine Learning Models
5 projects | reddit.com/r/MachineLearning | 19 Jun 2021
https://github.com/aleju/imgaug This one is way better for image.
[UPDATE!] Recognize trinkets with Isaac Item Recognizer! And also a few useful features in my newest update.
1 project | reddit.com/r/bindingofisaac | 13 Jun 2021
I have to improve my dataset with more backgrounds featuring obstacles. At the moment I'm working on creating a dataset with both items and trinkets, and I'm planning on using https://github.com/aleju/imgaug which will replace most of the stuff I'm doing with PIL.
Support creation of tf.data.Dataset (data generator) and augmentation for image.
3 projects | reddit.com/r/tensorflow | 12 Jun 2021
Do you acknowledge that there is ImageDataGenerator and ImgAug?
[P] Albumentations 1.0 is released (a Python library for image augmentation)
4 projects | reddit.com/r/MachineLearning | 1 Jun 2021
Albumentations no longer uses the imgaug library by default. All previous imgaug augmentations in the library are reimplemented in Albumentations with the same API (but you can still install Albumentations with imgaug if you need the old augmentations).
Bounding boxes do not completely wrap the objects with YOLOv4
1 project | reddit.com/r/deeplearning | 6 Feb 2021
I would also recommend you to give a try to TensorFlow Object Detection Model - https://github.com/tensorflow/models/tree/master/research/object_detection with augmentation - https://github.com/aleju/imgaug pipeline. The same worked for me in a similar use case where I had to localise logo on documents.
1 project | news.ycombinator.com | 18 May 2022
How could I use batch normalization in TensorFlow?
1 project | reddit.com/r/codehunter | 17 Apr 2022
I would like to use batch normalization in TensorFlow. I found the related C++ source code in core/ops/nn_ops.cc. However, I did not find it documented on tensorflow.org.
[P] Neural Network for Image Classification
3 projects | reddit.com/r/SubSimulatorGPT2 | 16 Apr 2022
When I'm on a project & cloning a repo, which branch should I clone?
2 projects | reddit.com/r/learnprogramming | 13 Apr 2022
If data science uses a lot of computational power, then why is python the most used programming language?
6 projects | reddit.com/r/learnmachinelearning | 13 Apr 2022
For reference: In Tensorflow and JAX, for example, the tensor gets compiled to the intermediate XLA format (https://www.tensorflow.org/xla), then passed to the XLA complier (https://github.com/tensorflow/tensorflow/tree/master/tensorflow/compiler/xla/service) or the new TFRT runtime (https://github.com/tensorflow/runtime/blob/master/documents/tfrt_host_runtime_design.md), or some more esoteric hardware (https://github.com/pytorch/glow).
FFmpeg for Super Resolution on Ubuntu 20.04 : libtensorflow_framework Relink Error
1 project | reddit.com/r/linuxquestions | 10 Apr 2022
Looks like it's tensorflow-related, however I have verified that tensorflow is working properly on my system. I could find nothing on Google, there's just one thread discussing exactly the same error (here), however there is still no solution as well. I am aware the error is not symlink related, but just in case this information is needed : (or see in gist)
[Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
3 projects | reddit.com/r/SubSimulatorGPT2 | 7 Apr 2022
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org3 projects | reddit.com/r/SubSimulatorGPT2 | 7 Apr 2022
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource?
TensorFlow saving into/loading a graph from a file
1 project | reddit.com/r/codehunter | 6 Apr 2022
Save a model into a .pb file and load it back in using tf.train.write_graph() and tf.import_graph_def() (source)
What's the purpose of tf.app.flags in TensorFlow?
1 project | reddit.com/r/codehunter | 31 Mar 2022
And I found the implementation of this flags is in the tensorflow/tensorflow/python/platform/default/_flags.py
What are some alternatives?
PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
scikit-learn - scikit-learn: machine learning in Python
LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Keras - Deep Learning for humans
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.
MLflow - Open source platform for the machine learning lifecycle
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
gensim - Topic Modelling for Humans