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#1
English | 简体中文 | 繁體中文 | العربية | Italiano | Українська | Español | Português | Français | Deutsch | 日本語 | 한국어 | עברית | Nederlands | Türkçe | हिंदी | Tiếng Việt | Bahasa Melayu
QuestDB is an open-source time-series database offering blazingly fast ingestion and dynamic, low-latency SQL queries.
QuestDB delivers a multi-tier storage engine (WAL → native → Parquet on object storage) and the core engine is implemented in zero-GC Java and C++; QuestDB Enterprise includes additional components in Rust.
We achieve high performance via a column-oriented storage model, parallelized vector execution, SIMD instructions, and low-latency techniques. In addition QuestDB is hardware efficient, with quick setup and operational efficiency.
Ready to go? Jump to the Get started section.
QuestDB Web Console - click to launch demo
Benefits of QuestDB
Feature highlights include:
- Low-latency, high-throughput ingestion — from single events to millions/sec
- Low-latency SQL with time-series extensions…
#2
ethereum-boilerplate
/
ethereum-boilerplate
The ultimate NextJS Ethereum Dapp Boilerplate which gives you maximum flexibility and speed. Feel free to fork and contribute. Although this repo is called "Ethereum Boilerplate" it works with any EVM system and since it uses Moralis SDK You can even use it on Solana! Happy BUIDL!👷♂️
ethereum-boilerplate
Fully Typescript ready NextJS components for fast building dApps without running own backend
🚀DEMO: https://eth-boilerplate.vercel.app/
This boilerplate is built with Moralis
You need active web3 provider/wallet only for authentication. All pages in this boilerplate do not require an active web3 provider, they use Moralis Web3 API. Moralis supports the most popular blockchains and their test networks. You can find a list of all available networks in Moralis Supported Chains
Please check the official documentation of Moralis for all the functionalities of Moralis.
⭐️ Star us
If this boilerplate helps you build Ethereum dapps faster - please star this project, every star makes us very happy!
🤝 Need help?
If you need help with setting up the boilerplate or have other questions - don't hesitate to write in our community forum and we will check asap. Forum link. The best thing about this boilerplate is the super active community…
#3
openimsdk
/
open-im-server
IM Chat OpenClaw
English · 中文 · Українська · Česky · Magyar · Español · فارسی · Français · Deutsch · Polski · Indonesian · Suomi · മലയാളം · 日本語 · Nederlands · Italiano · Русский · Português (Brasil) · Esperanto · 한국어 · العربي · Tiếng Việt · Dansk · Ελληνικά · Türkçe
👥 Join Our Community
Ⓜ️ About OpenIM
Unlike standalone chat applications such as Telegram, Signal, and Rocket.Chat, OpenIM offers an open-source instant messaging solution designed specifically for developers rather than as a directly installable standalone chat app. Comprising OpenIM SDK and OpenIM Server, it provides developers with a complete set of tools and services to integrate instant messaging functions into their applications, including message sending and receiving, user management, and group management. Overall, OpenIM aims to provide developers with the necessary tools and framework to…
#4
Dogecoin Core [DOGE, Ð]
IMPORTANT: Starting August 2024, the master branch has become the primary
integration branch and has become unstable. Please check out a tagged version
before compiling production binaries.
For internationalized documentation, see the index at doc/intl.
Dogecoin is a community-driven cryptocurrency that was inspired by a Shiba Inu meme. The Dogecoin Core software allows anyone to operate a node in the Dogecoin blockchain networks and uses the Scrypt hashing method for Proof of Work. It is adapted from Bitcoin Core and other cryptocurrencies.
For information about the default fees used on the Dogecoin network, please refer to the fee recommendation.
Usage 💻
To start your journey with Dogecoin Core, see the installation guide and the getting started tutorial.
The JSON-RPC API provided by Dogecoin Core is self-documenting and can be browsed with dogecoin-cli help, while detailed information for each command can be viewed with…
#5
👨💻CodeArt🎨
🚧 Install CodeArt easily
please backup any existing configuration files
🐧🍎 On linux and macOS:
git clone https://github.com/artart222/CodeArt ~/.config/nvim
chmod +x ~/.config/nvim/installer/linux-mac.sh
exec ~/.config/nvim/installer/linux-mac.sh
If you have debian, after the instalation finished you must add debian testing repos and after that run:
sudo apt update; sudo apt install neovim
And after that open neovim and run :PackerSync and then reopen nevom!
🪟 on Windows:
please backup any existing configuration files
⚡🐚 open a powershell session as administrator and run this command:
git clone https://github.com/artart222/CodeArt $HOME\AppData\Local\nvim
powershell.exe -executionpolicy bypass -file $HOME\AppData\Local\nvim\installer\windows.ps1
🌲💺Σ🖥️ Install lsp and treesitter:
- You can install lsp for a language with
:LspInstall <language> - You can install treesitter with
:TSInstall <language>
These NeoVim configurations use many nerd fonts icons. JetBrains Mono
…#6
microsoft
/
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
🌐 Multi-Language Support
Supported via GitHub Action (Automated & Always Up-to-Date)
Arabic | Bengali | Bulgarian | Burmese (Myanmar) | Chinese (Simplified) | Chinese (Traditional, Hong Kong) | Chinese (Traditional, Macau) | Chinese (Traditional, Taiwan) | Croatian | Czech | Danish | Dutch | Estonian | Finnish | French | German | Greek | Hebrew | Hindi | Hungarian | Indonesian | Italian | Japanese | Kannada | Khmer | Korean | Lithuanian | Malay | Malayalam | Marathi | Nepali | Nigerian Pidgin | Norwegian | Persian (Farsi) | Polish | Portuguese (Brazil) | Portuguese (Portugal) | Punjabi (Gurmukhi) | Romanian | Russian | Serbian (Cyrillic) | Slovak | Slovenian | Spanish | Swahili | Swedish | Tagalog (Filipino) | Tamil | Telugu | Thai | Turkish | Ukrainian | Urdu | Vietnamese
Prefer to Clone Locally?
This repository includes 50+ language translations which significantly increases the download size…
#7
NVIDIA
/
DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
NVIDIA Deep Learning Examples for Tensor Cores
Introduction
This repository provides State-of-the-Art Deep Learning examples that are easy to train and deploy, achieving the best reproducible accuracy and performance with NVIDIA CUDA-X software stack running on NVIDIA Volta, Turing and Ampere GPUs.
NVIDIA GPU Cloud (NGC) Container Registry
These examples, along with our NVIDIA deep learning software stack, are provided in a monthly updated Docker container on the NGC container registry (https://ngc.nvidia.com). These containers include:
- The latest NVIDIA examples from this repository
- The latest NVIDIA contributions shared upstream to the respective framework
- The latest NVIDIA Deep Learning software libraries, such as cuDNN, NCCL, cuBLAS, etc. which have all been through a rigorous monthly quality assurance process to ensure that they provide the best possible performance
- Monthly release notes for each of the NVIDIA optimized containers
Computer Vision
| Models | Framework | AMP | Multi-GPU | Multi-Node | TensorRT | ONNX | Triton | DLC | NB |
|---|---|---|---|---|---|---|---|---|---|
| EfficientNet-B0 |
#8
solana-labs
/
token-list
The community maintained Solana token registry
🚨🚨🚨This repository is EOL 🚨🚨🚨
Read below for instructions on new token metadata flow
As of June 20th, this repository will be archived and will receive no more updates. The repository will be set to read-only and the npm package will still exist at @solana/spl-token-registry.
Adding a New Token
You can use one of two tools at the time of writing:
All new token metadata will be added using Metaplex Fungible Token Metadata. The steps to add new Fungible Token Metadata are as follows:
- Use
CreateMetadataV2instruction from Metaplex token metadata to create new metadata for token. - Make sure you use the correct format for the token metadata.
- You must have mint authority in order to create or update the metadata
The token metadata for Metaplex Metadata Schema is in the following format:
{
"name": "TOKEN_NAME"
"symbol": …#9
ai-forever
/
ru-dalle
Generate images from texts. In Russian
ruDALL-E
Generate images from texts
pip install rudalle==1.1.3
🤗 HF Models:
ruDALL-E Malevich (XL)
ruDALL-E Emojich (XL) (readme here)
ruDALL-E Surrealist (XL)
ruDALL-E Kandinsky (XXL) (soon)
Minimal Example:
Example usage ruDALL-E Malevich (XL) with 3.5GB vRAM!
Finetuning example
generation by ruDALLE:
import ruclip
from rudalle.pipelines import generate_images, show, super_resolution, cherry_pick_by_ruclip
from rudalle import get_rudalle_model, get_tokenizer, get_vae, get_realesrgan
from rudalle.utils import seed_everything
# prepare models:
device = 'cuda'
dalle = get_rudalle_model('Malevich', pretrained=True, fp16=True, device=device)
tokenizer = get_tokenizer()
vae = get_vae(dwt=True).to(device)
# pipeline utils:
realesrgan = get_realesrgan('x2', device=device)
clip, processor = ruclip.load('ruclip-vit-base-patch32-384', device=device)
clip_predictor = ruclip.Predictor(clip, processor, device…#10
Python-World
/
python-mini-projects
A collection of simple python mini projects to enhance your python skills
Python-Mini-Projects
A collection of simple python mini projects to enhance your Python skills.
If you want to learn about python, visit here.
If you are new to Github and open source then, visit here.
Steps To Follow
-
Select an issue and ask to be assigned to it.
-
Check existing scripts in the projects directory.
-
Star this repository.
-
On the python-mini-projects repo page, click the Fork button
-
Clone your forked repository to your local machine. This button will show you the URL to run
For example, run this command inside your terminal:
git clone https://github.com/<your-github-username>/python-mini-projects.git
Replace <your-github-username>!
Learn more about forking and cloning a repo.
-
Before you make any changes, keep your fork in sync to avoid merge conflicts:
git remote add upstream https://github.com/Python-World/python-mini-projects.git git fetch upstream git pull upstream master git push
Alternatively, GitHub also provides syncing now - click "Fetch upstream" at the top…
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