Github Top Repositories
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⚡ stablyai/orca is making waves. Here's the full picture.
🔗 https://github.com/stablyai/orca
📝 Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and VPS.
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Orca is the AI orchestrator for 100x builders, allowing you to run multiple agents like Codex, ClaudeCode, and Pi in parallel worktrees, tracked in one place. Key features include a mobile companion app, parallel worktrees, terminal splits, design mode, and native GitHub and Linear integration.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/stablyai/orca
📝 Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and VPS.
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Orca is the AI orchestrator for 100x builders, allowing you to run multiple agents like Codex, ClaudeCode, and Pi in parallel worktrees, tracked in one place. Key features include a mobile companion app, parallel worktrees, terminal splits, design mode, and native GitHub and Linear integration.
orca also offers a CLI for scripting workflows and supports various agents. Usage is straightforward, with a user-friendly interface and extensive documentation. Technical highlights include WebGL rendering, infinite terminal splits, and auto-reconnect for remote worktrees. Orca is suitable for developers and power users looking to streamline their workflow. With Orca, you can script every workflow and stay productive on-the-go. Orca is the ultimate tool for AI-driven development - build faster, build smarter.──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
🌟 msitarzewski/agency-agents caught my eye on GitHub Trending today.
🔗 https://github.com/msitarzewski/agency-agents
📝 A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.
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The Agency is a collection of specialized AI agents with unique personalities, each designed to excel in a specific domain. The roster includes agents like Frontend Developer, Backend Architect, and AI Engineer, among others. These agents can be used with various tools like Claude Code, Cursor, and Codex, and can be
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/msitarzewski/agency-agents
📝 A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.
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The Agency is a collection of specialized AI agents with unique personalities, each designed to excel in a specific domain. The roster includes agents like Frontend Developer, Backend Architect, and AI Engineer, among others. These agents can be used with various tools like Claude Code, Cursor, and Codex, and can be
installed via a native app or command-line scripts. The agents are production-ready, with a focus on deliverable-focused and measurable outcomes. Whether you're a developer, engineer, or AI enthusiast, The Agency provides a dream team of AI specialists at your fingertips. The takeaway: Assemble your dream team of AI specialists and transform your workflow!──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
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Github Top Repositories
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💡 shiyu-coder/Kronos just hit the trending charts — here's why it matters.
🔗 https://github.com/shiyu-coder/Kronos
📝 Kronos: A Foundation Model for the Language of Financial Markets
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Kronos is the first open-source foundation model specifically designed for the "language" of financial markets, trained on data from over 45 global exchanges. This decoder-only model is pre-trained to handle the unique, high-noise characteristics of financial data, leveraging a novel two-stage framework. It first quantizes continuous, multi-dimensional K-line data into hierarchical discrete tokens using a specialized tokenizer, and then pre-trains a large, autoregressive Transformer on these tokens.
The model is
To get started with Kronos, users can install the required dependencies and load a pre-trained model and its corresponding tokenizer from the Hugging Face Hub. The
Here is an example of how to use the
Kronos is designed for quantitative researchers and practitioners who want to leverage the power of foundation models for financial market analysis and forecasting. With its unique architecture and pre-training on a large dataset, Kronos has the potential to become a game-changer in the field of quantitative finance.
Kronos: forecasting the future of finance, one candlestick at a time.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/shiyu-coder/Kronos
📝 Kronos: A Foundation Model for the Language of Financial Markets
──────────────────────────────
Kronos is the first open-source foundation model specifically designed for the "language" of financial markets, trained on data from over 45 global exchanges. This decoder-only model is pre-trained to handle the unique, high-noise characteristics of financial data, leveraging a novel two-stage framework. It first quantizes continuous, multi-dimensional K-line data into hierarchical discrete tokens using a specialized tokenizer, and then pre-trains a large, autoregressive Transformer on these tokens.
The model is
pre-trained and fine-tuned for diverse quantitative tasks, including forecasting. Kronos provides a range of pre-trained models with varying capacities, from Kronos-mini to Kronos-large, to suit different computational and application needs. A live demo is available to visualize Kronos's forecasting results.To get started with Kronos, users can install the required dependencies and load a pre-trained model and its corresponding tokenizer from the Hugging Face Hub. The
KronosPredictor class simplifies the forecasting process, handling data preprocessing, normalization, prediction, and inverse normalization.Here is an example of how to use the
KronosPredictor:predictor = KronosPredictor(model, tokenizer, max_context=512)
pred_df = predictor.predict(
df=x_df,
x_timestamp=x_timestamp,
y_timestamp=y_timestamp,
pred_len=pred_len,
T=1.0,
top_p=0.9,
sample_count=1
)
Kronos is designed for quantitative researchers and practitioners who want to leverage the power of foundation models for financial market analysis and forecasting. With its unique architecture and pre-training on a large dataset, Kronos has the potential to become a game-changer in the field of quantitative finance.
Kronos: forecasting the future of finance, one candlestick at a time.
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🧠 Channel: https://t.iss.one/GithubRe
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