Catalyst 1.0.35051
dotnet add package Catalyst --version 1.0.35051
NuGet\Install-Package Catalyst -Version 1.0.35051
<PackageReference Include="Catalyst" Version="1.0.35051" />
paket add Catalyst --version 1.0.35051
#r "nuget: Catalyst, 1.0.35051"
// Install Catalyst as a Cake Addin
#addin nuget:?package=Catalyst&version=1.0.35051
// Install Catalyst as a Cake Tool
#tool nuget:?package=Catalyst&version=1.0.35051
Catalyst is a Natural Language Processing library built from scratch 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. You can install language-specific models with the model packages Catalyst.Models.[Language], like: Catalyst.Models.English.
Product | Versions |
---|---|
.NET | net5.0 net5.0-windows net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows net7.0 net7.0-android net7.0-ios net7.0-maccatalyst net7.0-macos net7.0-tvos net7.0-windows |
.NET Core | netcoreapp3.0 netcoreapp3.1 |
.NET Standard | netstandard2.1 |
MonoAndroid | monoandroid |
MonoMac | monomac |
MonoTouch | monotouch |
Tizen | tizen60 |
Xamarin.iOS | xamarinios |
Xamarin.Mac | xamarinmac |
Xamarin.TVOS | xamarintvos |
Xamarin.WatchOS | xamarinwatchos |
-
.NETCoreApp 3.1
- HtmlAgilityPack (>= 1.11.43)
- MessagePack (>= 2.4.35)
- Microsoft.ML (>= 1.7.1)
- Microsoft.Recognizers.Text.DateTime (>= 1.8.4)
- Mosaik.Core (>= 0.0.23249)
- System.Memory (>= 4.5.5)
- System.Numerics.Vectors (>= 4.5.0)
- System.Runtime.Serialization.Primitives (>= 4.3.0)
- System.ValueTuple (>= 4.5.0)
-
.NETStandard 2.1
- HtmlAgilityPack (>= 1.11.43)
- MessagePack (>= 2.4.35)
- Microsoft.ML (>= 1.7.1)
- Microsoft.Recognizers.Text.DateTime (>= 1.8.4)
- Mosaik.Core (>= 0.0.23249)
- System.Memory (>= 4.5.5)
- System.Numerics.Vectors (>= 4.5.0)
- System.Runtime.Serialization.Primitives (>= 4.3.0)
- System.ValueTuple (>= 4.5.0)
-
net5.0
- HtmlAgilityPack (>= 1.11.43)
- MessagePack (>= 2.4.35)
- Microsoft.ML (>= 1.7.1)
- Microsoft.Recognizers.Text.DateTime (>= 1.8.4)
- Mosaik.Core (>= 0.0.23249)
- System.Memory (>= 4.5.5)
- System.Numerics.Vectors (>= 4.5.0)
- System.Runtime.Serialization.Primitives (>= 4.3.0)
- System.ValueTuple (>= 4.5.0)
-
net6.0
- HtmlAgilityPack (>= 1.11.43)
- MessagePack (>= 2.4.35)
- Microsoft.ML (>= 1.7.1)
- Microsoft.Recognizers.Text.DateTime (>= 1.8.4)
- Mosaik.Core (>= 0.0.23249)
- System.Memory (>= 4.5.5)
- System.Numerics.Vectors (>= 4.5.0)
- System.Runtime.Serialization.Primitives (>= 4.3.0)
- System.ValueTuple (>= 4.5.0)
NuGet packages (66)
Showing the top 5 NuGet packages that depend on Catalyst:
Package | Downloads |
---|---|
FenixAlliance.ACL.Dependencies
Application Component for the Alliance Business Suite. |
|
Catalyst.Models.English
This package contains the default English models for Catalyst. Catalyst is a Natural Language Processing library built from scratch 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. |
|
Catalyst.Models.French
This package contains the default French models for Catalyst. Catalyst is a Natural Language Processing library built from scratch 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. |
|
Catalyst.Models.Italian
This package contains the default Italian models for Catalyst. Catalyst is a Natural Language Processing library built from scratch 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. |
|
Catalyst.Models.Spanish
This package contains the default Spanish models for Catalyst. Catalyst is a Natural Language Processing library built from scratch 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. |
GitHub repositories (1)
Showing the top 1 popular GitHub repositories that depend on Catalyst:
Repository | Stars |
---|---|
curiosity-ai/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.
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Version | Downloads | Last updated |
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1.0.35051 | 1,300 | 1/4/2023 |
1.0.35026 | 122 | 1/4/2023 |
1.0.33442 | 4,620 | 10/12/2022 |
1.0.31087 | 80,083 | 7/15/2022 |
1.0.30950 | 12,968 | 7/12/2022 |
1.0.30949 | 261 | 7/12/2022 |
1.0.30301 | 21,265 | 6/21/2022 |
1.0.30262 | 433 | 6/14/2022 |
1.0.30169 | 16,871 | 6/10/2022 |
1.0.30147 | 288 | 6/8/2022 |
1.0.29069 | 178,393 | 5/2/2022 |
1.0.26457 | 5,557 | 3/10/2022 |
1.0.25056 | 1,127 | 1/27/2022 |
1.0.24969 | 321 | 1/25/2022 |
1.0.24611 | 1,126 | 1/14/2022 |
1.0.23862 | 18,627 | 11/25/2021 |
1.0.23820 | 5,048 | 11/24/2021 |
1.0.23254 | 700 | 11/9/2021 |
1.0.23175 | 16,836 | 11/5/2021 |
1.0.22150 | 1,974 | 10/7/2021 |
1.0.22149 | 278 | 10/7/2021 |
1.0.21905 | 631 | 9/26/2021 |
1.0.21636 | 557 | 9/17/2021 |
1.0.21621 | 6,201 | 9/17/2021 |
1.0.19323 | 7,515 | 7/10/2021 |
1.0.19264 | 322 | 7/9/2021 |
1.0.18054 | 1,156 | 6/7/2021 |
1.0.16767 | 11,015 | 4/11/2021 |
1.0.16628 | 10,406 | 4/7/2021 |
1.0.16627 | 289 | 4/7/2021 |
1.0.16626 | 288 | 4/7/2021 |
1.0.16624 | 289 | 4/7/2021 |
1.0.16622 | 5,903 | 4/7/2021 |
1.0.16611 | 492 | 4/6/2021 |
1.0.16610 | 316 | 4/6/2021 |
1.0.16609 | 477 | 4/6/2021 |
1.0.16606 | 324 | 4/6/2021 |
1.0.16605 | 5,360 | 4/6/2021 |
0.0.16590 | 5,468 | 4/6/2021 |
0.0.16588 | 313 | 4/6/2021 |
0.0.16396 | 1,658 | 3/24/2021 |
0.0.15579 | 13,673 | 2/1/2021 |
0.0.15578 | 325 | 2/1/2021 |
0.0.15574 | 426 | 2/1/2021 |
0.0.15573 | 328 | 2/1/2021 |
0.0.15572 | 319 | 2/1/2021 |
0.0.15571 | 320 | 2/1/2021 |
0.0.15372 | 320 | 1/25/2021 |
0.0.15182 | 461 | 1/19/2021 |
0.0.15134 | 342 | 1/18/2021 |
0.0.15118 | 361 | 1/15/2021 |
0.0.15117 | 341 | 1/15/2021 |
0.0.14707 | 2,681 | 12/17/2020 |
0.0.14459 | 505 | 12/10/2020 |
0.0.14452 | 356 | 12/10/2020 |
0.0.14451 | 345 | 12/10/2020 |
0.0.14402 | 381 | 12/9/2020 |
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0.0.14325 | 475 | 12/6/2020 |
0.0.14216 | 378 | 12/2/2020 |
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0.0.14211 | 364 | 12/2/2020 |
0.0.14210 | 362 | 12/2/2020 |
0.0.13839 | 684 | 11/17/2020 |
0.0.13788 | 379 | 11/17/2020 |
0.0.13658 | 458 | 11/11/2020 |
0.0.13654 | 359 | 11/11/2020 |
0.0.13477 | 488 | 10/26/2020 |
0.0.13264 | 560 | 10/17/2020 |
0.0.13263 | 460 | 10/17/2020 |
0.0.13262 | 465 | 10/17/2020 |
0.0.12834 | 607 | 10/1/2020 |
0.0.12825 | 424 | 10/1/2020 |
0.0.12824 | 391 | 10/1/2020 |
0.0.12232 | 707 | 9/10/2020 |
0.0.11715 | 714 | 8/24/2020 |
0.0.11693 | 486 | 8/22/2020 |
0.0.11686 | 435 | 8/22/2020 |
0.0.11681 | 454 | 8/22/2020 |
0.0.11411 | 528 | 8/18/2020 |
0.0.11254 | 549 | 8/13/2020 |
0.0.10787 | 1,229 | 7/27/2020 |
0.0.10612 | 537 | 7/22/2020 |
0.0.10417 | 459 | 7/17/2020 |
0.0.10022 | 706 | 7/9/2020 |
0.0.10020 | 531 | 7/9/2020 |
0.0.9788 | 563 | 7/6/2020 |
0.0.9586 | 532 | 7/1/2020 |
0.0.9152 | 614 | 6/18/2020 |
0.0.9069 | 461 | 6/17/2020 |
0.0.9065 | 455 | 6/17/2020 |
0.0.9032 | 504 | 6/16/2020 |
0.0.8792 | 584 | 6/5/2020 |
0.0.8777 | 524 | 6/5/2020 |
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0.0.8775 | 444 | 6/5/2020 |
0.0.8713 | 471 | 6/4/2020 |
0.0.8697 | 454 | 6/3/2020 |
0.0.8661 | 433 | 6/2/2020 |
0.0.8431 | 576 | 5/27/2020 |
0.0.8429 | 423 | 5/27/2020 |
0.0.8428 | 439 | 5/27/2020 |
0.0.8426 | 450 | 5/27/2020 |
0.0.8423 | 465 | 5/27/2020 |
0.0.8422 | 446 | 5/27/2020 |
0.0.8285 | 518 | 5/22/2020 |
0.0.8268 | 449 | 5/22/2020 |
0.0.8267 | 441 | 5/22/2020 |
0.0.8266 | 418 | 5/22/2020 |
0.0.8236 | 461 | 5/21/2020 |
0.0.8203 | 568 | 5/20/2020 |
0.0.8201 | 432 | 5/20/2020 |
0.0.8052 | 523 | 5/18/2020 |
0.0.7800 | 529 | 5/12/2020 |
0.0.7630 | 523 | 5/7/2020 |
0.0.7603 | 446 | 5/6/2020 |
0.0.7391 | 641 | 4/30/2020 |
0.0.6972 | 722 | 4/13/2020 |
0.0.6971 | 459 | 4/13/2020 |
0.0.6603 | 621 | 4/2/2020 |
0.0.6540 | 463 | 3/31/2020 |
0.0.6239 | 828 | 3/24/2020 |
0.0.5377 | 1,367 | 2/28/2020 |
0.0.5177 | 714 | 2/18/2020 |
0.0.5174 | 466 | 2/18/2020 |
0.0.5153 | 556 | 2/17/2020 |
0.0.5140 | 475 | 2/17/2020 |
0.0.5133 | 486 | 2/17/2020 |
0.0.5123 | 524 | 2/14/2020 |
0.0.5118 | 465 | 2/14/2020 |
0.0.4936 | 632 | 2/6/2020 |
0.0.4896 | 619 | 2/5/2020 |
0.0.4838 | 539 | 2/3/2020 |
0.0.4836 | 471 | 2/3/2020 |
0.0.4835 | 485 | 2/3/2020 |
0.0.4775 | 463 | 1/31/2020 |
0.0.4770 | 488 | 1/31/2020 |
0.0.4732 | 522 | 1/30/2020 |
0.0.4304 | 960 | 1/7/2020 |
0.0.4302 | 517 | 1/7/2020 |
0.0.3953 | 830 | 12/12/2019 |
0.0.3549 | 736 | 11/29/2019 |
0.0.3547 | 475 | 11/29/2019 |
0.0.3514 | 522 | 11/27/2019 |
0.0.3502 | 512 | 11/27/2019 |
0.0.3460 | 1,341 | 11/25/2019 |
0.0.3448 | 941 | 11/25/2019 |
0.0.3437 | 468 | 11/25/2019 |
0.0.3375 | 1,194 | 11/20/2019 |
0.0.3258 | 748 | 11/13/2019 |
0.0.3257 | 489 | 11/13/2019 |
0.0.3224 | 514 | 11/11/2019 |
0.0.3204 | 492 | 11/9/2019 |
0.0.3202 | 505 | 11/9/2019 |
0.0.3092 | 574 | 11/4/2019 |
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0.0.2979 | 593 | 10/29/2019 |
0.0.2978 | 495 | 10/29/2019 |
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0.0.2956 | 517 | 10/28/2019 |
0.0.2955 | 491 | 10/27/2019 |
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0.0.2952 | 496 | 10/26/2019 |
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0.0.2795 | 654 | 10/9/2019 |
0.0.2765 | 569 | 10/6/2019 |
0.0.2764 | 486 | 10/6/2019 |
0.0.2755 | 516 | 10/5/2019 |
0.0.2721 | 509 | 10/4/2019 |
0.0.2717 | 510 | 10/3/2019 |
0.0.2680 | 532 | 10/2/2019 |
0.0.2677 | 494 | 10/2/2019 |
0.0.2659 | 496 | 10/1/2019 |
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0.0.2520 | 573 | 9/28/2019 |
0.0.2492 | 548 | 9/26/2019 |
0.0.2489 | 493 | 9/26/2019 |
0.0.2466 | 527 | 9/25/2019 |
0.0.2465 | 490 | 9/25/2019 |
0.0.2446 | 1,204 | 9/25/2019 |
0.0.2365 | 3,015 | 9/20/2019 |
0.0.2295 | 565 | 9/17/2019 |
0.0.2285 | 531 | 9/17/2019 |
0.0.2283 | 529 | 9/17/2019 |
0.0.2280 | 525 | 9/16/2019 |
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0.0.2264 | 530 | 9/16/2019 |
0.0.2197 | 592 | 9/6/2019 |
0.0.2178 | 541 | 9/5/2019 |
0.0.2035 | 668 | 8/27/2019 |
0.0.1845 | 1,689 | 8/21/2019 |
0.0.1798 | 1,676 | 8/16/2019 |
0.0.1795 | 628 | 8/16/2019 |
0.0.1792 | 821 | 8/15/2019 |
0.0.1789 | 778 | 8/15/2019 |
0.0.1745 | 1,012 | 8/10/2019 |
0.0.1744 | 651 | 8/10/2019 |
0.0.1743 | 659 | 8/10/2019 |
0.0.1742 | 665 | 8/10/2019 |
0.0.1741 | 655 | 8/10/2019 |
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0.0.1739 | 655 | 8/10/2019 |
0.0.1738 | 653 | 8/10/2019 |
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0.0.1736 | 650 | 8/10/2019 |
0.0.1735 | 643 | 8/10/2019 |
0.0.1734 | 651 | 8/10/2019 |
0.0.1733 | 659 | 8/10/2019 |
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0.0.1673 | 2,722 | 8/6/2019 |
0.0.1670 | 631 | 8/6/2019 |
0.0.1667 | 981 | 8/6/2019 |
0.0.1658 | 633 | 8/6/2019 |
0.0.1652 | 628 | 8/6/2019 |
0.0.1645 | 1,586 | 8/6/2019 |
0.0.1595 | 631 | 8/5/2019 |
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0.0.1583 | 645 | 8/5/2019 |
0.0.1578 | 1,794 | 8/5/2019 |