10 github repos to master quant trading
a curated list of github repositories covering strategies, frameworks, and tools for systematic quantitative trading development.
topic
a curated list of github repositories covering strategies, frameworks, and tools for systematic quantitative trading development.
learn to use the mimesis python library to replace sensitive personal data with realistic fake data for safe data science work.
google announces gemini spark, a personal ai agent, and the closed-source antigravity cli, raising security concerns.
a new family of remote sensing models reduces token sequence length to lower inference costs while matching previous performance.
google released gemini 3.5 flash with a notable price increase and plans to use it across many consumer and developer products.
a roundup of ten python libraries that improve data pipeline speed, reliability, and maintenance across orchestration, ingestion, quality, and storage.
claude cowork is an autonomous agent in the desktop app that works directly with your files to plan and deliver finished documents, reports, and organized folders.
six new cross-encoder rerankers from 17m to 1b parameters, built on modernbert encoders, match or beat larger models on retrieval benchmarks.
a lightning talk summary of major llm developments from november 2025 to may 2026, including coding agent breakthroughs and open-weight model advances.
paddleocr 3.5 lets developers run ocr and document parsing models with a hugging face transformers backend, reducing integration friction for rag and document ai workflows.
pytorch 2.11 now publishes cuda-enabled wheels for aarch64 linux on pypi, removing the need for custom indexes and workarounds when deploying on nvidia grace hopper and grace blackwell systems.
a new executorch backend enables gpu-accelerated inference on apple silicon macs using apple's mlx framework, with broad model and quantization support.
a guide to parameter-efficient fine-tuning of nvidia cosmos predict 2.5 using lora and dora for generating synthetic robot manipulation videos.
a new open benchmark evaluates complete agent systems, not just models, across six diverse tasks to measure generality, quality, and cost.
a technical writer shares five real-world tasks done with local llms, from private document search to offline assistants and code review, showing local models can be better than cloud for privacy and control.
the uk government digital service recommends keeping public sector code open by default, pushing back against the nhs decision to close repositories after vulnerability reports.
osaurus is an open-source mac app that runs ai models locally or via cloud providers, keeping files and tools on your own hardware.
simon willison notes that ai coding agents are making programming language choices less permanent, as seen in a company's recent react native rewrite.