ac0ae5b5ae
Replace per-instance cuBLAS/cublasLt handle ownership in CublasForward with Arc<SharedCublasHandle>. The struct is renamed to CublasGemmSet and a type alias preserves backward compatibility for external callers. Removed from CublasGemmSet: handle, workspace, lt_handle, lt_workspace, bias kernels (all now in SharedCublasHandle). Kept: branch streams, branch workspaces, GEMM caches, events, network dimensions. External callers (gpu_dqn_trainer, gpu_experience_collector) will be updated in Tasks 4-5 to pass Arc<SharedCublasHandle> to the constructor. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
ml
10-model ML ensemble for the Foxhunt HFT system, built on Candle v0.9.1.
Models
- DQN (Rainbow) — deep Q-network with prioritized replay, dueling heads, noisy nets
- PPO — proximal policy optimization with GAE, LSTM policies, clip-higher
- TFT — temporal fusion transformer for multi-horizon forecasting
- Mamba2 — state space model for sequence prediction
- Liquid Networks — biologically inspired networks for non-stationary data
- TLOB — transformer-based limit order book analysis
- KAN — Kolmogorov-Arnold networks
- xLSTM — extended LSTM architecture
- TGGN — temporal graph neural network
- Diffusion — diffusion-based generative model
Key Modules
ensemble— model ensemble coordination and confidence aggregationhyperopt— PSO-based hyperparameter optimization with per-model adapterstrainers— unified training loops (DQN, PPO, supervised)inference—InferenceAdaptertrait for predictioncheckpoint— model checkpointing and restorationevaluation— walk-forward evaluation pipeline
Usage
use ml::dqn::DQN;
use ml::ppo::PpoTrainer;