Miradi 9764

                           

Ongeza Mradi Mpya

Kitambulisho Jina Maelezo Tovuti Leseni Mmiliki Mpato wa mwisho ulikua Vipimo% Nishani
8443 rollup-plugin-sbom

Create SBOMs in CycloneDX format for your Vite or Rollup projects with ease

 https://github.com/janbiasi/rollup-plugin-sbom MIT Jan R. Biasi 88% Kiwango cha Nishani kwa mradi 8443 ni 88%
8445 Main-H https://github.com/Hawthorne001/Main-H MIT Hawthorne001 15% Kiwango cha Nishani kwa mradi 8445 ni 15%
8446 ipu6-camera-hal https://github.com/intel/ipu6-camera-hal Hao Yao 3% Kiwango cha Nishani kwa mradi 8446 ni 3%
8447 busylight-server https://github.com/Gaardsholt/busylight-server MIT Lasse Gaardsholt 15% Kiwango cha Nishani kwa mradi 8447 ni 15%
8448 sfmlproject-tictactoe https://github.com/Lerbernard/sfmlproject-tictactoe Lee Bernard 13% Kiwango cha Nishani kwa mradi 8448 ni 13%
8449 client-python

Python client for HAPI

 https://github.com/hapi-server/client-python BSD-3-Clause Sandy Antunes 18% Kiwango cha Nishani kwa mradi 8449 ni 18%
8450 johnnymai

Personal Portfolio

 https://github.com/johnny-mai7/johnnymai johnny-mai7 22% Kiwango cha Nishani kwa mradi 8450 ni 22%
8451 edsnlp

Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.

 https://aphp.github.io/edsnlp BSD-3-Clause Perceval Wajsburt 93% Kiwango cha Nishani kwa mradi 8451 ni 93%
8452 gluten

Gluten: Plugin to Double SparkSQL's Performance

 https://github.com/oap-project/gluten Apache-2.0 Wei-Ting Chen 2024-02-27 05:46:04 111% Kiwango cha Nishani kwa mradi 8452 ni 111%
8453 HiBench.git

HiBench is a big data benchmark suite that helps evaluate different big data frameworks in terms of speed, throughput and system resource utilizations. It...

 https://github.com/Intel-bigdata/HiBench.git minmingzhu 69% Kiwango cha Nishani kwa mradi 8453 ni 69%
8455 MigTD https://github.com/intel/MigTD Jiaqi Gao 3% Kiwango cha Nishani kwa mradi 8455 ni 3%
8456 flexhostmail

"Streamline the development of secure email OTP verification systems with this Node.js project. It provides essential components for OTP generation, Redis...

 https://github.com/IntegerAlex/flexhostmail GPL-3.0 Akshat Kotpalliwar 15% Kiwango cha Nishani kwa mradi 8456 ni 15%
8458 remote-shuffle.git

Remote Shuffle is a Spark* ShuffleManager plugin, shuffling data through a remote datastore, as opposed to vanilla Spark's local-disks.

 https://github.com/oap-project/remote-shuffle.git minmingzhu 3% Kiwango cha Nishani kwa mradi 8458 ni 3%
8459 reliabot

Maintain Dependabot configuration

 https://github.com/dupuy/reliabot MIT Alexander Dupuy 2024-02-28 08:29:04 115% Kiwango cha Nishani kwa mradi 8459 ni 115%
8460 oap-mllib.git

Apache Spark MLlib is a scalable machine learning library based on Spark unified platform. It seamlessly integrates with Spark SQL, Spark Streaming and other...

 https://github.com/oap-project/oap-mllib.git Apache-2.0 minmingzhu 2024-03-13 05:57:12 105% Kiwango cha Nishani kwa mradi 8460 ni 105%
8461 raydp.git

RayDP provides simple APIs for running Spark on Ray and integrating Spark with AI libraries, making it simple to build distributed data and AI pipeline in a...

 https://github.com/oap-project/raydp.git minmingzhu 3% Kiwango cha Nishani kwa mradi 8461 ni 3%
8463 Integration-Project-COP1500

Basic Python Program demonstrating different functions and how they can be used. My first ever Python Program created.

 https://github.com/John-Holik/Integration-Project-COP1500 Unlicense John-Holik 2024-03-02 01:02:56 105% Kiwango cha Nishani kwa mradi 8463 ni 105%
8464 Discord_GitHub-Utilities https://github.com/Malix-off/Discord_GitHub-Utilities OTHER Malix 13% Kiwango cha Nishani kwa mradi 8464 ni 13%
8465 Tetris

A recreation of Tetris made using C++ and the SFML library.

 https://github.com/RyanBoyl/Tetris MIT RyanBoyl 2024-02-29 00:02:31 107% Kiwango cha Nishani kwa mradi 8465 ni 107%
8466 davidb200.github.io https://github.com/davidb200/davidb200.github.io David Betanzos 2024-02-28 21:59:37 104% Kiwango cha Nishani kwa mradi 8466 ni 104%

Sehemu ya "tiered %" inaonyesha 300% kwa dhahabu, 200% kwa fedha, na 100% kwa kupita, na inaongeza maendeleo baada ya nishani ya juu zaidi iliyopatikana. Unaweza pia kupanga kwa ifuatavyo: URL ya hifadhi, wakati wa uundaji (kwa ingizo la nishani), wakati wa kusasisha la mwisho (kwa ingizo la nishani), and kitambulisho cha mtumiaji