10 github repos to master quant trading
a curated list of github repositories covering strategies, frameworks, and tools for systematic quantitative trading development.
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Baris operates SummarizedData and maintains its sources, publishing rules, and automation. Read the editorial process.
a curated list of github repositories covering strategies, frameworks, and tools for systematic quantitative trading development.
practical patterns for running totals, sessionization, cohort analysis, and percentile ranking using sql window functions.
google i/o 2026 reveals new ai agents and models, while startups tackle desktop automation, email security, and music generation.
learn to use the mimesis python library to replace sensitive personal data with realistic fake data for safe data science work.
irisgo, backed by andrew ng, develops a proactive desktop agent that learns workflows and automates repetitive tasks with minimal prompting.
google io 2026 unveiled gemini 3.5 flash, gemini omni, ai search upgrades, and new agent tools.
google announces gemini spark, a personal ai agent, and the closed-source antigravity cli, raising security concerns.
new research provides statistical learning bounds for using machine learning to predict lagrangian multipliers in mixed integer linear programming, showing generalization scales with problem size and sample count.
stability ai launches stability audio 3.0, a family of models that can generate professional music up to six minutes long, with open weights for smaller versions.
hellora fine-tunes mixture-of-experts models by adding low-rank adapters only to the most active experts, cutting parameters and compute while boosting performance.
nanoco, the company behind the secure openclaw alternative nanoclaw, raised $12 million in seed funding after turning down a $20 million acquisition offer.
a new neural network processes tensor data by splitting it into low-rank and sparse parts, with proven error bounds and automatic structure selection.
ocean, an agentic email security startup, emerged from stealth with $28 million to detect ai-generated phishing attacks using a custom small language model.
a new framework uses beta distributions to measure calibration-conditional coverage in conformal prediction, providing bounds on coverage gaps and bad-calibration probabilities under non-i.i.d. settings.
google deepmind's co-scientist helps biologists find genetic factors that reverse cellular aging, cutting analysis time from months to days.
study tests gemini 3.0 flash on 2,257 patient queries using personal health records, finding better accuracy with full clinical notes.
google unveils pics, an ai design app for workspace that generates and edits images from text prompts, competing with canva and claude design.
a calibration-first router uses isotonic regression to map token uncertainty to error probability, enabling cost-optimal escalation thresholds without per-workload tuning.