|6 days ago||6 days ago|
|Apache License 2.0||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.
I have issue with only __habs for half datatype? Please help!
1 project | reddit.com/r/CUDA | 15 Jun 2021
Alternatives to google collab?
1 project | reddit.com/r/computervision | 31 Jan 2021
A smart way to print :)
6 projects | reddit.com/r/Python | 22 May 2022
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 are some alternatives?
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
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
PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)
Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.