Added

• Benchmarking module (comprexx.benchmark): cx.benchmark() measures inference
  latency with warmup, percentiles (p50/p90/p99), and throughput.
  cx.compare_benchmarks() returns before/after comparisons with speedup deltas.
  New comprexx bench CLI command.
• Example notebooks with cell outputs: ResNet18 edge deployment (fuse, prune,
  benchmark, ONNX export) and linear layer compression (SVD, weight-only INT4,
  dynamic INT8).
• GitHub Actions CI: pytest on Python 3.10/3.11/3.12 + ruff lint.
• CHANGELOG.md covering v0.1.0 through v0.3.0.

Changed

• Silenced torch.ao.quantization is deprecated warnings in PTQ stages.
• Fixed __version__ to report the correct version.
• Cleaned up all ruff lint errors across the codebase.

Stats

• 174 tests passing
• 9 compression techniques + sensitivity analysis
• Python 3.10+, PyTorch 2.0+

Full changelog: v0.2.0...v0.3.0