Miradi 9816

                           

Ongeza Mradi Mpya

Kitambulisho Jina Maelezo Tovuti Leseni Mmiliki Mpato wa mwisho ulikua Vipimo% Nishani
9096 idxd-config

Accel-config / libaccel-config

 https://github.com/ramesh-thomas/idxd-config OTHER Ramesh Thomas 13% Kiwango cha Nishani kwa mradi 9096 ni 13%
9097 cg-go

An implementation of Conjugate Gradient Method written in Go

 https://github.com/mukappalambda/cg-go MIT Mao-Kai Lan 18% Kiwango cha Nishani kwa mradi 9097 ni 18%
9098 go-examples

A Collection of Golang Boilerplates

 https://github.com/mukappalambda/go-examples MIT Mao-Kai Lan 15% Kiwango cha Nishani kwa mradi 9098 ni 15%
9099 vocabdemy-backend

A Lightweight Service to Learn Vocabularies

 https://vocabdemy-backend.readthedocs.io/en/latest MIT Mao-Kai Lan 21% Kiwango cha Nishani kwa mradi 9099 ni 21%
9100 Kairos

The immutable Linux meta-distribution for edge Kubernetes.

 https://kairos.io Apache-2.0 Mauro Morales 94% Kiwango cha Nishani kwa mradi 9100 ni 94%
9101 MethodicConfigurator

A clear ArduPilot configuration sequence

 https://github.com/ArduPilot/MethodicConfigurator GPL-3.0 Amilcar Lucas 2025-01-27 22:25:22 198% Kiwango cha Nishani kwa mradi 9101 ni 198%
9102 Teaming.AI

TEAMING.AI project aims to make a breakthrough in smart manufacturing by introducing greater customisation and personalisation of products and services in AI...

 https://gitlab.com/t6878 Apache-2.0 Julen Aperribay Pradanos 2024-06-12 09:16:35 107% Kiwango cha Nishani kwa mradi 9102 ni 107%
9103 gdi-userportal-frontend https://github.com/GenomicDataInfrastructure/gdi-userportal-frontend Bruno Pacheco 13% Kiwango cha Nishani kwa mradi 9103 ni 13%
9104 Teaming.AI

TEAMING.AI project aims to make a breakthrough in smart manufacturing by introducing greater customisation and personalisation of products and services in AI...

 https://gitlab.com/t6878 Apache-2.0 Julen Aperribay Pradanos 2024-06-12 10:51:50 109% Kiwango cha Nishani kwa mradi 9104 ni 109%
9105 Teaming.AI

TEAMING.AI project aims to make a breakthrough in smart manufacturing by introducing greater customisation and personalisation of products and services in AI...

 https://gitlab.com/t6878 Apache-2.0 Julen Aperribay Pradanos 2024-06-12 12:37:58 109% Kiwango cha Nishani kwa mradi 9105 ni 109%
9106 Teaming.AI

TEAMING.AI project aims to make a breakthrough in smart manufacturing by introducing greater customisation and personalisation of products and services in AI...

 https://gitlab.com/t6878 Apache-2.0 Julen Aperribay Pradanos 2024-06-12 13:43:25 109% Kiwango cha Nishani kwa mradi 9106 ni 109%
9107 arduino-esp32

Arduino core for the ESP32

 https://github.com/lucasssvaz/arduino-esp32 LGPL-2.1 Lucas Saavedra Vaz 19% Kiwango cha Nishani kwa mradi 9107 ni 19%
9108 yufan.me

My Chinese blog captures my past memories and thoughts.

 https://yufan.me MIT Yufan Sheng 16% Kiwango cha Nishani kwa mradi 9108 ni 16%
9109 readyapi http://readyapi.khulnasoft.com MIT NxPKG 13% Kiwango cha Nishani kwa mradi 9109 ni 13%
9110 package-scanner https://github.com/khulnasoft-lab/package-scanner NxPKG 13% Kiwango cha Nishani kwa mradi 9110 ni 13%
9111 skills-introduction-to-github-

My clone repository

 https://github.com/SAEED51fardial/skills-introduction-to-github- MIT SAEED51fardial 15% Kiwango cha Nishani kwa mradi 9111 ni 15%
9112 annotate-lab

Create image annotations. Classify and tag images using polygons, bounding boxes, or circles.

 https://annotate.dwaste.live MIT Suman Kunwar 2024-06-14 16:07:06 105% Kiwango cha Nishani kwa mradi 9112 ni 105%
9113 vola-auto

The ultimate streamline for Volatility 3. Speed up process of memory artifacts extraction phase

 https://github.com/ImDuong/vola-auto Apache-2.0 Yang 15% Kiwango cha Nishani kwa mradi 9113 ni 15%
9114 minigotchi

an even smaller pwnagotchi. maintained by @dj1ch

 https://github.com/dj1ch/minigotchi GPL-3.0 dj1ch 16% Kiwango cha Nishani kwa mradi 9114 ni 16%
9115 marshmallows9

Config files for my GitHub profile.

 https://github.com/marshmallows9 julia suchi 10% Kiwango cha Nishani kwa mradi 9115 ni 10%

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