ml
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Here are 3,853 public repositories matching this topic...
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
-
Updated
Sep 14, 2021 - Jupyter Notebook
12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all
-
Updated
Oct 14, 2021 - Jupyter Notebook
YOLOv5
-
Updated
Oct 14, 2021 - Python
Visualizer for neural network, deep learning, and machine learning models
-
Updated
Oct 14, 2021 - JavaScript
Bug Report
Describe the bug
An ONNX model with QuantizeLinear (opset 13) passes shape inference when it has no input for zero_point, but fails if the input is the empty string. Trailing optional inputs should be able to be expressed in either way.
onnx version 1.10.1
Every kubeflow image should be scanned for security vulnerabilities.
It would be great to have a periodic security report.
Each of these images with vulnerability should be patched and updated.
MLflow Roadmap Item
This is an MLflow Roadmap item that has been prioritized by the MLflow maintainers. We're seeking help with the implementation of roadmap items tagged with the help wanted label.
For requirements clarifications and implementation questions, or to request a PR review, please tag @BenWilson2 in your communications related to this issue.
Proposal Summary
Includ
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
-
Updated
Oct 6, 2021 - Jupyter Notebook
Caffe2 is a lightweight, modular, and scalable deep learning framework.
-
Updated
Nov 21, 2018 - Shell
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
-
Updated
Jun 9, 2021 - Python
Remove logging line, or modify from ch.Info to ch.Trace:
https://github.com/dotnet/machinelearning/blob/5dbfd8acac0bf798957eea122f1413209cdf07dc/src/Microsoft.ML.Mkl.Components/SymSgdClassificationTrainer.cs#L813
For my text dataset, this logging line dumps ~100 pages of floats to my console. That level of verbosity is unneeded at the Info level.
I'd recommend just removing the loggin
A curated list of references for MLOps
-
Updated
Oct 13, 2021
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
-
Updated
Oct 14, 2021 - C++
A flexible, high-performance serving system for machine learning models
-
Updated
Oct 14, 2021 - C++
Largest list of models for Core ML (for iOS 11+)
-
Updated
Oct 22, 2020 - Python
With a config like this
{
"METAFLOW_DATASTORE_SYSROOT_S3": "s3://mf-test/metaflow/",
}
(note a slash after METAFLOW_DATASTORE_SYSROOT_S3)
metaflow.S3(run=self).put* produces double-slashes like here:
s3://mf-test/metaflow//data/DataLoader/1630978962283843/month=01/data.parquet
The trailing slash in the config shouldn't make a difference
An open-source, low-code machine learning library in Python
-
Updated
Oct 10, 2021 - Jupyter Notebook
When users create a connection to the database it will be useful to show them tips with a list of tables. To be able to do this we need a new method get_tables_list implemented in the PostgreSQL integration class.
Steps 🕵️♂️ 🕵️♀️
- Frok MindsDB repo
- Add new implementation in https://github.com/mindsdb/mindsdb/blob/stable/mindsdb/integrations/postgres/postgr
A C++ standalone library for machine learning
-
Updated
Oct 3, 2021 - C++
🚨 🚨 Feature Request
- Related to an existing Issue
- A new implementation (Improvement, Extension)
If your feature will improve HUB
Need a way to check if a dataset already exists.
hub.empty throws an error if a dataset exists and hub.load throws an error if the dataset does not exist.
Need a way to check if a dataset already exists without throwing a
Snips Python library to extract meaning from text
-
Updated
May 3, 2021 - Python
In Ue format string it represent float with comma separator, it crash css style
To fix it you can Round/replace/incluse culture info
samples/csharp/end-to-end-apps/ScalableSentimentAnalysisBlazorWebApp/BlazorSentiment.Client/Shared/HappinessScale.razor
A library for transfer learning by reusing parts of TensorFlow models.
-
Updated
Oct 14, 2021 - Python
Model Serving Made Easy
-
Updated
Oct 14, 2021 - Python
OneFlow is a performance-centered and open-source deep learning framework.
-
Updated
Oct 14, 2021 - C++
Data augmentation for NLP
-
Updated
Oct 5, 2021 - Jupyter Notebook
I have a simple regression task (using a LightGBMRegressor) where I want to penalize negative predictions more than positive ones. Is there a way to achieve this with the default regression LightGBM objectives (see https://lightgbm.readthedocs.io/en/latest/Parameters.html)? If not, is it somehow possible to define (many example for default LightGBM model) and pass a custom regression objective?
Expected Behavior
When an entity is removed from the feature repo, it should be removed from the feature registry.
Current Behavior
Entities are only added, never removed from the Registry. This is a storage leak of sorts.
Steps to reproduce
feast init- In the new feature repo,
feast apply - Add a new entity in the feature repo.
feast apply. - Remove the new en
- Wikipedia
- Wikipedia



Current implementation of Go binding can not specify options.
GPUOptions struct is in internal package. And
go generatedoesn't work for protobuf directory. So we can't specify GPUOptions forNewSession.