Farm π on the Fuel network.sway-farm A simple farming game written in Sway. Running Locally Make sure you have fuelup installed and are using the beta-5 toolchain. Install the Fuel Wallet extension and copy your wallet address. In the frontend folder, open the src/App.tsx file and add the following lines using your Fuel wallet address: const myWallet = new WalletLocked("fuel123...."); console.log("WALLET:", myWallet.address.toB256()); Run the frontend locally with npm start, andβ¦
An open source wearable with cameraWhomane: Open-Source AI Wearable with a Camera No Case With case β See online Demo Our vision is to make wearable AI accessible to everyone, to use and to build on. Our mission is to provide the tools and support, so that you can focus on what matters. Be apart of the revolution! Whomane is here to stay, at the forefront of AI hardware innovation. Getting Started Follow these steps to get started with Whomane: Clone/Host the Web App Buy/Assemblβ¦
Source code for Area 51 (2005)Area 51 (2005) Source Code Release Welcome to the unofficial release of the Area 51 (2005) video game source code! This project aims to resurrect and preserve a piece of early 2000s video game history for enthusiasts, historians, and developers alike. Below is a brief overview of the source code details, its origin, and guidance on how the community can help bring this game into the modern era. Historical Overview of Area 51 Initial Release: Area 51 was originallyβ¦
Resources for Learning SpringResource for Learning Spring On a recent episode of the Spring Office Hours Podcast we talked about the best resources for learning Spring. We wanted this repository to live as a resource for people to find the best resources for learning Spring. We are looking for the best books, courses, videos, and anything else that you have found helpful in learning Spring. If you have suggestions please open a pull request. Spring Office Hours: S3E8 - Resources for learning Spβ¦
GaLore This repo contains the pre-release version of GaLore algorithm, proposed by GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection. Gradient Low-Rank Projection (GaLore) is a memory-efficient low-rank training strategy that allows full-parameter learning but is more memory-efficient than common low-rank adaptation methods, such as LoRA. As a gradient projection method, GaLore is independent of the choice of optimizers and can be easily plugged into existing ones with only β¦
Π Π°Π·ΡΠ°Π±ΠΎΡΡΠΈΠΊΠΈ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ AnyCubic Π²ΡΠΏΡΡΡΠΈΠ»ΠΈ Π½ΠΎΠ²ΡΡ ΠΏΡΠΎΡΠΈΠ²ΠΊΡ Π΄Π»Ρ ΠΏΡΠΈΠ½ΡΠ΅ΡΠΎΠ² Kobra 2, ΠΈΡΠΏΡΠ°Π²ΠΈΠ² ΡΡΠ·Π²ΠΈΠΌΠΎΡΡΡ Π½ΡΠ»Π΅Π²ΠΎΠ³ΠΎ Π΄Π½Ρ. Π ΠΏΡΠΎΡΠ»ΠΎΠΌ ΠΌΠ΅ΡΡΡΠ΅ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΡΡΠΎΠ³ΠΎ Π±Π°Π³Π° Π±ΡΠ»ΠΈ Π²Π·Π»ΠΎΠΌΠ°Π½Ρ ΡΡΡΡΠΎΠΉΡΡΠ²Π° ΠΏΠΎ Π²ΡΠ΅ΠΌΡ ΠΌΠΈΡΡ, ΠΈ Π½Π΅ΠΈΠ·Π²Π΅ΡΡΠ½ΡΠΉ Ρ Π°ΠΊΠ΅Ρ ΠΏΡΠ΅Π΄ΡΠΏΡΠ΅ΠΆΠ΄Π°Π» ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΉ, ΡΡΠΎ 3D-ΠΏΡΠΈΠ½ΡΠ΅ΡΡ ΡΡΠ·Π²ΠΈΠΌΡ Π΄Π»Ρ Π°ΡΠ°ΠΊ.
ΠΠ-ΡΠΊΡΠΏΠ΅ΡΡΡ Π’Π°Π»Π°Π» Π₯Π°ΠΉ ΠΠ°ΠΊΡΠΈ (Talal Haj Bakry) ΠΈ Π’ΠΎΠΌΠΌΠΈ ΠΡΡΠΊ (Tommy Mysk) ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ ΠΏΡΠΎΡΡΡΡ ΡΠΈΡΠΈΠ½Π³ΠΎΠ²ΡΡ Π°ΡΠ°ΠΊΡ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Flipper Zero, Π² ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΠΊΠΎΡΠΎΡΠΎΠΉ ΠΌΠΎΠΆΠ½ΠΎ ΡΠΊΠΎΠΌΠΏΡΠΎΠΌΠ΅ΡΠΈΡΠΎΠ²Π°ΡΡ ΡΡΠ΅ΡΠ½ΡΡ Π·Π°ΠΏΠΈΡΡ Tesla, ΡΠ°Π·Π±Π»ΠΎΠΊΠΈΡΠΎΠ²Π°ΡΡ Π°Π²ΡΠΎΠΌΠΎΠ±ΠΈΠ»Ρ ΠΈ ΡΠ³Π½Π°ΡΡ Π΅Π³ΠΎ. ΠΡΠ°ΠΊΠ° ΡΠ°Π±ΠΎΡΠ°Π΅Ρ Π΄Π°ΠΆΠ΅ Ρ ΠΏΠΎΡΠ»Π΅Π΄Π½Π΅ΠΉ Π²Π΅ΡΡΠΈΠ΅ΠΉ ΠΏΡΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΡ Tesla (4.30.6) ΠΈ Ρ ΠΏΡΠΎΡΠΈΠ²ΠΊΠΎΠΉ Π²Π΅ΡΡΠΈΠΈ 11.1 2024.2.7.
ΠΠΈΠ½ΠΈΡΡΠ΅ΡΡΡΠ²ΠΎ ΡΡΡΠΈΡΠΈΠΈ Π‘Π¨Π ΠΎΠ±Π½Π°ΡΠΎΠ΄ΠΎΠ²Π°Π»ΠΎ ΠΎΠ±Π²ΠΈΠ½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ΅ Π·Π°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅ ΠΏΡΠΎΡΠΈΠ² 38-Π»Π΅ΡΠ½Π΅Π³ΠΎ ΠΠΈΠ½Π²Π΅Ρ (ΠΠ΅ΠΎΠ½Π°) ΠΠΈΠ½Π³Π°, Π±ΡΠ²ΡΠ΅Π³ΠΎ ΠΈΠ½ΠΆΠ΅Π½Π΅ΡΠ°-ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΡΠ° Google, ΠΊΠΎΡΠΎΡΡΠΉ ΠΏΠΎΠ΄ΠΎΠ·ΡΠ΅Π²Π°Π΅ΡΡΡ Π² ΠΊΡΠ°ΠΆΠ΅ ΠΊΠΎΠΌΠΌΠ΅ΡΡΠ΅ΡΠΊΠΈΡ ΠΠ-ΡΠ΅ΠΊΡΠ΅ΡΠΎΠ² Google ΠΈ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠ΅ ΡΡΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΡΠΌ Π² ΠΠΈΡΠ°Π΅.
ΠΡΠΈΠ²Π΅ΡΡΡΠ²ΡΡ, current_user()!ΠΠΎΠ±ΡΠΎ ΠΏΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡ Π² ΡΠ²Π»Π΅ΠΊΠ°ΡΠ΅Π»ΡΠ½ΠΎΠ΅ ΠΏΡΡΠ΅ΡΠ΅ΡΡΠ²ΠΈΠ΅ ΠΏΠΎ ΠΌΠΈΡΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ Ρ PostgreSQL β ΠΌΠΎΡΠ½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΠΎΠΉ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π±Π°Π·Π°ΠΌΠΈ Π΄Π°Π½Π½ΡΡ . Π ΡΡΠΎΠΉ ΡΡΠ°ΡΡΠ΅ ΠΌΡ ΠΏΠΎΠ³ΡΡΠ·ΠΈΠΌΡΡ Π² ΠΊΠ»ΡΡΠ΅Π²ΡΠ΅ Π°ΡΠΏΠ΅ΠΊΡΡ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΠΊΠΎΠ΄Π° ΠΈ ΡΡΡΡΠΊΡΡΡΡ Π΄Π»Ρ PostgreSQL Ρ Π°ΠΊΡΠ΅Π½ΡΠΎΠΌ Π½Π° ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΡ ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ.ΠΡΠΎ Π½Π΅ ΠΏΡΠ°Π²ΠΈΠ»Π°, Π° ΡΠΊΠΎΡΠ΅Π΅ ΠΏΠΎΠ»Π΅Π·Π½ΡΠ΅ ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°ΡΠΈΠΈ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΏΠΎΠΌΠΎΠ³ΡΡ ΠΠ°ΠΌ ΠΈΠ·Π±Π΅ΠΆΠ°ΡΡ Π½Π΅ΠΏΡΠΈΡΡΠ½ΡΡ ΡΠΈΡΡΠ°ΡΠΈΠΉ Π² Π±ΡΠ΄ΡΡΠ΅ΠΌ. ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΡΠΉ ΠΎΠΏΡΡ - ΠΌΠΎΠΉ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΡΠΉ, ΠΈ, ΠΊΠΎΠ½Π΅ΡΠ½ΠΎ ΠΆΠ΅, ΠΎΠ½ ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ Π½Π΅ΠΌΠ½ΠΎΠ³ΠΎ ΡΡΠ±ΡΠ΅ΠΊΡΠΈΠ²Π½ΡΠΌ, ΡΠ°ΠΊ ΠΊΠ°ΠΊ Ρ ΠΎΡΠ½ΠΎΡβ¦