جستجوی ریپازیتوریهای کد
نام پکیج، لینک گیتهاب، زبان، یا کلمات کلیدی را جستجو کنید
صفحه 691 از 818
pytorch / java-demo
Jupyter NotebookIBM / blockchainbean2
TypeScriptThis code pattern shows how to model a supply-chain network using the IBM Blockchain Platform and is based on a collaboration with Brooklyn Roasting Company. The story, along with the supply-chain documents that were used to model this network, can be found at: https://www.ibm.com/blockchainbean. Note that the 'view the blockchain' button is being migrated''
google-research / neural-structural-optimization
Jupyter NotebookNeural reparameterization improves structural optimization
cline / linear-mcp
TypeScripta private MCP server for accessing Linear
freeCodeCamp / contribute
MDXBegin your contribution journey here.
IBM / Decentralized-Energy-Composer
TypeScriptWARNING: This repository is no longer maintained :warning: We are no longer showing the Hyperledger Composer Service.
google-research / mt-metrics-eval
PythonTools for evaluating the performance of MT metrics on data from recent WMT metrics shared tasks.
google-research / selfstudy-adversarial-robustness
Pythonacademind / js-testing-introduction
JavaScriptJavaScript testing (unit tests, integration tests, e2e tests) introduction repo - belongs to this tutorial: https://academind.com/learn/javascript/javascript-testing-introduction
akshaybaweja / Smart-IC-Tester
CJetBrains / toolbox-browser-extension
JavaScriptJetBrains Toolbox App browser extension
JetBrains / xdebug-extension
JavaScriptA modern, dependency-free, cross-browser extension for Xdebug.
google-labs-code / jules-action
Add a powerful cloud coding agent to your GitHub workflows
google-research / FirstOrderLp.jl
JuliaExperimental first-order solvers for linear and quadratic programming.
google-research / world_models
PythonJetBrains / jb-rpd-splash
JavaScriptGenerate artwork for JetBrains products using RPD
IBM / deep-learning-language-model
Jupyter NotebookA Code Pattern focusing on how to train a machine learning language model while using Keras and Tensorflow