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Top 12 Machine Learning and Data Science Open-Source Projects
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TensorFlow.NET
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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AForge.NET
AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc.
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Deedle
Easy to use .NET library for data and time series manipulation and for scientific programming
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Catalyst
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models. (by curiosity-ai)
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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But to answer your question. I've run UNet in C#. I trained the data originally using python and used SciSharp to run the model using GPU for a solution more than 5 years ago.
here is the code in case anybody has the same issue: utilizing AForge library C# - http://www.aforgenet.com/framework/
Branchless or not in this case, it still touches memory in not so good pattern. I found that a significant speedup of a classic BS could be achieved by switching to linear SIMD search when the remaining range has a width of 3-4 SIMD lines (or maybe even a little more). The bounds of that range are likely already touched and in cache, then prefetching helps. It gives 30-50% gain on 1K items array of integers, 10-25% on 1M items, depending on data distribution. Here is an example in C#: https://github.com/Spreads/Spreads/blob/main/src/Spreads.Cor...
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
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A note from our sponsor - InfluxDB
www.influxdata.com | 23 Apr 2024
Index
What are some of the best open-source Machine Learning and Data Science projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | ML.NET | 8,825 |
| 2 | TensorFlow.NET | 3,104 |
| 3 | AForge.NET | 1,048 |
| 4 | Deedle | 914 |
| 5 | F# Data | 803 |
| 6 | Catalyst | 672 |
| 7 | numl | 429 |
| 8 | encog-dotnet-core | 429 |
| 9 | Spreads | 417 |
| 10 | R Provider | 235 |
| 11 | Infer.NET | 17 |
| 12 | FsLab | 4 |
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