- Vision models: representations, architecture, 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…
Deploy PyTorch vision models as fast, memory-safe Rust binaries; convert to ONNX/TorchScript, quantize, benchmark, and package into a native, REST, or WASM target with one CLI.
Python 3
Evaluating and enhancing CLIP’s zero-shot and fine-tuned performance for melanoma detection for improved accuracy.
A toolkit for unseen object segmentation tasks