3649ff9fb5
Replaced all bf16()/bf16_zero()/bf16_one()/bf16_exp/bf16_sqrt/bf16_fmax/ bf16_fmin/bf16_fabs/bf16_log/bf16_shfl_xor/bf16_shfl_down/atomicAddBF16/ f32_to_bf16 wrapper calls with their native f32 equivalents across all 25 .cu kernel files. Updated stale comments. Fixed monitoring_kernel.cu atomic CAS helpers to use 32-bit int CAS instead of broken 16-bit. Build verified. Co-Authored-By: Claude Sonnet 4.6 <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;