Publish versioned Markdown. Build focused streams. Give people and agents only the context they need.
With MLX-LM-LoRA you can, train Large Language Models locally on Apple Silicon using MLX. Training works with all models supported by MLX-LM, including: Training Types: Training Algorithms: Quantization Aware Training (QAT): Training Your Custom Preference Model: --- The main command is mlxlmlora.train.
This repo contains the official implementation for AudioSeal, a method for efficient audio watermarking, with state-of-the-art robustness and detector speed. [arXiv] [🤗Hugging Face] [Colab Notebook] [Webpage] [Blog] [Press] AudioSeal introduces a novel audio watermarking using ocalized watermarking and a novel perceptual loss.
Most quant frameworks stop at "here's your backtest result." You get a number, maybe a chart, and then you're on your own figuring out which strategy variant is actually better, whether the result is robust across time windows, and how to go from research to production. Features Strategy Definition Declare what data your strategy needs and when to buy or sell as a TradingStrategy subclass — the framework wires up data loading, signal evaluation, order execution, position mana
This reference consolidates EVM opcode information from the yellow paper, stack exchange, solidity source, parity source, evm-opcode-gas-costs and Manticore. New issues and contributions are welcome, and are covered by bounties from Trail of Bits.
A comprehensive tutorial on the Python Pandas library, updated to be consistent with best practices and features available in 2024. The tutorial can be watched here The code that is walked through in the tutorial is in tutorial.ipynb To get started with Pandas locally, you can follow these steps to set up your environment and clone the recommended repository.
NOTE: If you're looking for Swagger Core 1.5.X and OpenAPI 2.0, please refer to 1.5 branch. NOTE: Since version 2.1.7, Swagger Core also supports the Jakarta namespace.
OpenHuman OpenHuman is your personal AI super intelligence: a brain that remembers everything, a fantastic orchestrator, a deep researcher. Discord • Reddit • X/Twitter • Docs • Follow @senamakel (Creator) 🇺🇸 English | 🇨🇳 简体中文 | 🇯🇵 日本語 | 🇰🇷 한국어 | 🇩🇪 Deutsch | 🇵🇰 اردو Download installers from tinyhumans.ai/openhuman or from the GitHub Releases page.
🦞 OpenClaw is a great personal AI assistant — connecting all major IMs as conversation channels, supporting any LLM, running autonomously 24/7. But when we bring it into an enterprise context, new challenges naturally emerge: data scattered across individual accounts, no budget guardrails, output that stops at plain text, high-risk actions without an approval gate.
LLM Twin Course: Building Your Production-Ready AI Replica Learn to architect and implement a production-ready LLM & RAG system by building your LLM Twin From data gathering to productionizing LLMs using LLMOps good practices. by Decoding AI By finishing the "LLM Twin: Building Your Production-Ready AI Replica" free course, you will learn how to design, train, and deploy a production-ready LLM twin of yourself powered by LLMs, vector DBs, and LLMOps good practices.
Self-hosted personal finance dashboard Track bank accounts, brokerage, crypto, and net worth — all in one place. Otherwise, open http://localhost:8080 — the setup wizard walks you through admin credentials, CORS, and (optionally) Enable Banking.
This approach enables efficient inference with large language models (LLMs), achieving up to 20x compression with minimal performance loss. Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang and Lili Qiu LongLLMLingua mitigates the 'lost in the middle' issue in LLMs, enhancing long-context information processing.
汉字 | English ---- Download ELF zip file release , unzip and use by command sudo ecapture --help. eCapture will automatically detect the system's OpenSSL library and start capturing plaintext.
% log4cplus README Short Description ================= [log4cplus] is a simple to use C++23 logging API providing thread--safe, flexible, and arbitrarily granular control over log management and configuration. [log4cplus]: https://github.com/log4cplus/log4cplus Latest Project Information ========================== The latest up-to-date information for this project can be found on the [GitHub][13] project page or the [log4cplus wiki][4].
Personal AI assistant for your TradingView Desktop charts. Connects Claude Code to your locally running TradingView app via Chrome DevTools Protocol for AI-assisted chart analysis, Pine Script development, and workflow automation.
Explore the resources developed by our community to enhance your experience with Hallo: Thanks to all of them. Join our community and explore these amazing resources to make the most out of Hallo.
USearch and FAISS both employ the same HNSW algorithm, but they differ significantly in their design principles. USearch is compact and broadly compatible without sacrificing performance, primarily focusing on user-defined metrics and fewer dependencies.
figure:: img/mainpage/subscribe.gif :target: https://machinelearningmindset.com/subscription/ Slack Group .. image:: https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat :target: https://github.com/astorfi/Deep-Learning-World/pulls ..
中文 | EN LazyLLM is a low-code development tool for building multi-agent large language model applications. It assists developers in creating complex AI applications at very low costs and enables continuous iterative optimization.
Convert any image, PDF or Office document to Markdown text or JSON structured document with super-high accuracy, including tabular data, numbers or math formulas. The API is built with FastAPI and uses Celery for asynchronous task processing.
\\\\\ Updated on Feb 6th, 2021: Train Ticket dataset is now available for academic research. You can download from Google Drive or OneDrive.
Publish versioned Markdown. Build focused streams. Give people and agents only the context they need.
With MLX-LM-LoRA you can, train Large Language Models locally on Apple Silicon using MLX. Training works with all models supported by MLX-LM, including: Training Types: Training Algorithms: Quantization Aware Training (QAT): Training Your Custom Preference Model: --- The main command is mlxlmlora.train.
This repo contains the official implementation for AudioSeal, a method for efficient audio watermarking, with state-of-the-art robustness and detector speed. [arXiv] [🤗Hugging Face] [Colab Notebook] [Webpage] [Blog] [Press] AudioSeal introduces a novel audio watermarking using ocalized watermarking and a novel perceptual loss.
Most quant frameworks stop at "here's your backtest result." You get a number, maybe a chart, and then you're on your own figuring out which strategy variant is actually better, whether the result is robust across time windows, and how to go from research to production. Features Strategy Definition Declare what data your strategy needs and when to buy or sell as a TradingStrategy subclass — the framework wires up data loading, signal evaluation, order execution, position mana
This reference consolidates EVM opcode information from the yellow paper, stack exchange, solidity source, parity source, evm-opcode-gas-costs and Manticore. New issues and contributions are welcome, and are covered by bounties from Trail of Bits.
A comprehensive tutorial on the Python Pandas library, updated to be consistent with best practices and features available in 2024. The tutorial can be watched here The code that is walked through in the tutorial is in tutorial.ipynb To get started with Pandas locally, you can follow these steps to set up your environment and clone the recommended repository.
NOTE: If you're looking for Swagger Core 1.5.X and OpenAPI 2.0, please refer to 1.5 branch. NOTE: Since version 2.1.7, Swagger Core also supports the Jakarta namespace.
OpenHuman OpenHuman is your personal AI super intelligence: a brain that remembers everything, a fantastic orchestrator, a deep researcher. Discord • Reddit • X/Twitter • Docs • Follow @senamakel (Creator) 🇺🇸 English | 🇨🇳 简体中文 | 🇯🇵 日本語 | 🇰🇷 한국어 | 🇩🇪 Deutsch | 🇵🇰 اردو Download installers from tinyhumans.ai/openhuman or from the GitHub Releases page.
🦞 OpenClaw is a great personal AI assistant — connecting all major IMs as conversation channels, supporting any LLM, running autonomously 24/7. But when we bring it into an enterprise context, new challenges naturally emerge: data scattered across individual accounts, no budget guardrails, output that stops at plain text, high-risk actions without an approval gate.
LLM Twin Course: Building Your Production-Ready AI Replica Learn to architect and implement a production-ready LLM & RAG system by building your LLM Twin From data gathering to productionizing LLMs using LLMOps good practices. by Decoding AI By finishing the "LLM Twin: Building Your Production-Ready AI Replica" free course, you will learn how to design, train, and deploy a production-ready LLM twin of yourself powered by LLMs, vector DBs, and LLMOps good practices.
Self-hosted personal finance dashboard Track bank accounts, brokerage, crypto, and net worth — all in one place. Otherwise, open http://localhost:8080 — the setup wizard walks you through admin credentials, CORS, and (optionally) Enable Banking.
This approach enables efficient inference with large language models (LLMs), achieving up to 20x compression with minimal performance loss. Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang and Lili Qiu LongLLMLingua mitigates the 'lost in the middle' issue in LLMs, enhancing long-context information processing.
汉字 | English ---- Download ELF zip file release , unzip and use by command sudo ecapture --help. eCapture will automatically detect the system's OpenSSL library and start capturing plaintext.
% log4cplus README Short Description ================= [log4cplus] is a simple to use C++23 logging API providing thread--safe, flexible, and arbitrarily granular control over log management and configuration. [log4cplus]: https://github.com/log4cplus/log4cplus Latest Project Information ========================== The latest up-to-date information for this project can be found on the [GitHub][13] project page or the [log4cplus wiki][4].
Personal AI assistant for your TradingView Desktop charts. Connects Claude Code to your locally running TradingView app via Chrome DevTools Protocol for AI-assisted chart analysis, Pine Script development, and workflow automation.
Explore the resources developed by our community to enhance your experience with Hallo: Thanks to all of them. Join our community and explore these amazing resources to make the most out of Hallo.
USearch and FAISS both employ the same HNSW algorithm, but they differ significantly in their design principles. USearch is compact and broadly compatible without sacrificing performance, primarily focusing on user-defined metrics and fewer dependencies.
figure:: img/mainpage/subscribe.gif :target: https://machinelearningmindset.com/subscription/ Slack Group .. image:: https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat :target: https://github.com/astorfi/Deep-Learning-World/pulls ..
中文 | EN LazyLLM is a low-code development tool for building multi-agent large language model applications. It assists developers in creating complex AI applications at very low costs and enables continuous iterative optimization.
Convert any image, PDF or Office document to Markdown text or JSON structured document with super-high accuracy, including tabular data, numbers or math formulas. The API is built with FastAPI and uses Celery for asynchronous task processing.
\\\\\ Updated on Feb 6th, 2021: Train Ticket dataset is now available for academic research. You can download from Google Drive or OneDrive.