Release v2.0.0
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╰─── By GrayBx, v2.0.0 ───────────────────────────────────────────────────────────────────────────────╯
Weightslab
Follow us on LinkedIn | Graybx
Welcome
What's New ?
New Features
- Runs management — unified UI to browse, organize, rename, and inspect experiment runs.
- Error bands & outlier highlighting — curves now display statistical bands and visually emphasize anomalous steps.
- Relabelling export — export tagged/annotated data to external tools (CVAT, V7, etc.) for downstream relabelling workflows.
- Integrated OpenCode Agent — full agent loop support (code generation, training, monitoring, report creation) directly inside WeightsLab.
- Multimodal data support — unified handling of images, videos, metadata, and structured signals.
- Automatic resource monitoring — GPU/CPU/RAM usage tracked and surfaced during training and agent operations.
- Dynamic HTML report generation — multi‑section experiment reports with plots, dataset analysis, training insights, and test results.
Fixes & Improvements
- Agent stability improvements — better token management, reliable process detaching, consistent initialization, and workspace‑safe lifecycle.
- Plotting upgrades
- Correct zoom behavior across large step ranges
- Bright color palettes in light mode
- Outlier visualization improvements
- Right‑click actions: BBS, highlight, hide curve, step notes, load weights, color changes
- Signal pipeline fixes — improved decimation, preservation of special points, kernel stability, and classification logic.
- DB performance improvements — safer handling of large histories, better compaction, and reduced memory pressure.
- Tag painter fixes — more reliable tagging, discarding, and annotation workflows.
- Workspace & session recovery — restart window reloads ongoing sessions, history, and conversation context.
- UI polish
- Search bar cleanup
- Agent input bar sync
- Regex‑based research plots
- Updated sandbox modes
- Improved multimodal previews
- Cross‑platform testing — validated on Windows, Ubuntu, Jupyter, and Google Colab.
Developer Experience
- Unified configuration — examples now rely on clean cfg files instead of hardcoded defaults.
- Improved CLI — better agent commands, clearer
/clearand/compact, stable loop behavior. - Changelog & documentation updates — new “What’s New”, migration notes (W&B / v51 / 3LC), updated examples, and expanded UI documentation.
Experimental & Advanced
- Video generation workflows — multi‑input styles, real‑world models, and dataset‑driven video tasks.
- Image generation workflows — PyTorch‑based generation paths integrated with agent prompts.
One platform. Unmatched flexibility. Ultimate control.
Make sure to install our last version on PyPI
Happy Training!
What's Changed precisely:
#296 Plot and Highlight Signal Outliers
#295 Integration OpenCode and Weights, the new experiment assistant in the UI
#294 Image and Video Generation usecase, i.e., image or video with prompts to image or video
#293 Data export for relabelling (CVAT, v7, Label Studio formats)
#292 Add system resources monitoring in the signals