- Vision foundation models: representations, architecture, pretraining, parameter-efficient adaptation, multimodal fusion, applications
⚡ Exploring. Building. Breaking. Learning faster.
⚡ Exploring. Building. Breaking. Learning faster.
Autonomous quantitative trading research platform with self-improving AI agents using adaptive harness evolution, transforms stock lists into fully backtested strategies without coding
A real-time trade reconciliation engine that ingests execution, broker, and PnL data, detects mismatches with tolerance-based checks, and provides live alerts, audit trails, and dashboards for comp…
Compile PyTorch vision models into ultra-fast Rust binaries for edge, server, and browser deployment.
Python 3
复刻ed from jishnujayakumar/uois_toolkit
A toolkit for unseen object instance segmentation tasks
Python 3
Evaluating and enhancing CLIP’s zero-shot and fine-tuned performance for melanoma detection for improved accuracy.