Prepare repository for public release

Author: LLAA178

.github/workflows/smoke.yml

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+name: smoke
+
+on:
+  push:
+    branches: ["main"]
+  pull_request:
+
+jobs:
+  cpu-smoke:
+    runs-on: ubuntu-latest
+    timeout-minutes: 20
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - uses: actions/setup-python@v5
+        with:
+          python-version: "3.11"
+
+      - name: Install package
+        run: |
+          python -m pip install --upgrade pip
+          python -m pip install -e .[viz]
+
+      - name: Synthetic train smoke
+        run: |
+          python -m qlib_gpu_model.train \
+            --data-source synthetic \
+            --device cpu \
+            --seq-len 16 \
+            --num-features 8 \
+            --model-dim 32 \
+            --num-heads 4 \
+            --num-layers 1 \
+            --ff-dim 64 \
+            --batch-size 32 \
+            --epochs 1 \
+            --num-workers 0 \
+            --amp-dtype fp32 \
+            --use-compile false \
+            --out-dir outputs/ci_synth
+
+      - name: Inference smoke
+        run: |
+          python -m qlib_gpu_model.infer \
+            --checkpoint outputs/ci_synth/best.pt \
+            --device cpu \
+            --batch-size 16 \
+            --iters 10 \
+            --warmup 2
+
+      - name: Build local parquet fixture
+        run: |
+          python - <<'PY'
+          from pathlib import Path
+          import numpy as np
+          import pandas as pd
+
+          out = Path("data/ci_fixture.parquet")
+          out.parent.mkdir(parents=True, exist_ok=True)
+
+          dates = pd.date_range("2022-01-03", periods=40, freq="B")
+          symbols = ["AAA", "BBB", "CCC"]
+          rows = []
+          for sym_idx, symbol in enumerate(symbols):
+              for t, dt in enumerate(dates):
+                  f1 = np.sin(t / 3.0 + sym_idx)
+                  f2 = np.cos(t / 5.0 + sym_idx * 0.7)
+                  f3 = 0.02 * t + sym_idx * 0.1
+                  label = 0.25 * f1 - 0.15 * f2 + 0.03 * f3
+                  rows.append(
+                      {
+                          "datetime": dt,
+                          "instrument": symbol,
+                          "f1": f1,
+                          "f2": f2,
+                          "f3": f3,
+                          "label": label,
+                      }
+                  )
+          pd.DataFrame(rows).to_parquet(out, index=False)
+          print(f"wrote {out}")
+          PY
+
+      - name: Parquet train smoke
+        run: |
+          python -m qlib_gpu_model.train \
+            --data-source parquet \
+            --parquet-path data/ci_fixture.parquet \
+            --target-col label \
+            --device cpu \
+            --seq-len 8 \
+            --model-dim 32 \
+            --num-heads 4 \
+            --num-layers 1 \
+            --ff-dim 64 \
+            --batch-size 16 \
+            --epochs 1 \
+            --num-workers 0 \
+            --amp-dtype fp32 \
+            --use-compile false \
+            --out-dir outputs/ci_parquet
+
+      - name: Backtest smoke
+        run: |
+          python -m qlib_gpu_model.backtest \
+            --checkpoint outputs/ci_parquet/best.pt \
+            --parquet-path data/ci_fixture.parquet \
+            --target-col label \
+            --device cpu \
+            --split valid \
+            --top-quantile 0.34 \
+            --transaction-cost-bps 5

LICENSE

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+MIT License
+
+Copyright (c) 2026 LLAA178
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.