|12 months ago||7 days ago|
|MIT License||Apache License 2.0|
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
We haven't tracked posts mentioning neptune-contrib yet.
Tracking mentions began in Dec 2020.
What is actually an AI program?
2 projects | reddit.com/r/learnprogramming | 26 Sep 2022
If you want a broad overview of the underlying technology, a neural network you can take a look at this video by 3blue1brown. As for the actual code behind it, there are open source repositories you can check out but likely won't understand or be able to follow like PyTorch or Tensorflow
[P]OneFlow v0.8.0 Came Out!
3 projects | reddit.com/r/MachineLearning | 14 Aug 2022
It all started with this issue.
2 projects | reddit.com/r/ProgrammerHumor | 2 Aug 2022
The meme doesn't specify if it's the interpreter or some popular library. It could be anything.
Why do many data scientist use C++ for machine learning?
4 projects | reddit.com/r/learnmachinelearning | 29 Jul 2022
For example, there is PyTorch which is primarily C++ but has Python bindings. Most people use the Python bindings, same for TensorFlow. JAX is mostly Python, same for scikit-learn.
Can't run freeze_graph python script, No module named 'tensorflow.python'
2 projects | reddit.com/r/tensorflow | 27 Jul 2022
I am trying to run the freeze_graph.py git source directly from tensorflow, however no matter the configuration I cannot run the script and I recieve the following error...
Freezing Saved_Model.pb for conversion into ONNX for Unity3D
3 projects | reddit.com/r/tensorflow | 27 Jul 2022
None of the unity git projects I have found walk through the start to finish steps and most just use ONNX models taken from the zoo or a public source. I have seen some mention that I may need to 'freeze' my Saved_model.pb file, but nothing I have found works or explains how I might do this. Ether the code fails to run (such as Freeze Graph Python Script - which fails to import 'from tensorflow.python.checkpoint' no matter my configuration, OR requests args that I don't seem to have.)
An open-source library for optimizing deep learning inference. (1) You select the target optimization, (2) nebullvm searches for the best optimization techniques for your model-hardware configuration, and then (3) serves an optimized model that runs much faster in inference
10 projects | reddit.com/r/learnmachinelearning | 26 Jul 2022
Open-source projects leveraged by nebullvm include OpenVINO, TensorRT, Intel Neural Compressor, SparseML and DeepSparse, Apache TVM, ONNX Runtime, TFlite and XLA. A huge thank you to the open-source community for developing and maintaining these amazing projects.
Why can't Go be popular for machine learning?
6 projects | reddit.com/r/golang | 22 Jul 2022
Go bindings for Tensorflow were supported by Google for a long time. The documentation for Go, however has since disappeared.
38 projects | reddit.com/r/Python | 15 Jul 2022
Above libraries I use in almost all the Python libraries we build. Apart from these I had use other Python frameworks and libraries for very specific purposes like FastAPI for web frameworks, tensorflow, pandas, numpy, etc. for AI/ML/DL based projects. TBH I prefer looking at awesome-python GitHub repository anytime I have to work in some new area.
TF Object Detection API usage with Amazon S3
2 projects | reddit.com/r/tensorflow | 14 Jul 2022
Logic is tfrecordwriter -> _pywrap_record_io.RecordWriter -> env NewWritableFile which leads to the different platforms, of which there is an S3 but it is deprecated.
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.
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.
scikit-learn - scikit-learn: machine learning in Python
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
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
MLflow - Open source platform for the machine learning lifecycle
Keras - Deep Learning for humans
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit