> For the complete documentation index, see [llms.txt](https://docs.tensorleap.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tensorleap.ai/getting-value-from-tensorleap.md).

# Getting Value from Tensorleap

<table data-card-size="large" data-view="cards"><thead><tr><th data-type="image"></th><th></th><th></th><th data-hidden data-card-cover data-type="image">Cover image</th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td></td><td><h4><strong>Aggressor Detection</strong></h4></td><td>Address model failure by visualizing and clustering errors on the data</td><td><a href="https://3509361326-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9UXeOlFqlw8pl79U2HGU%2Fuploads%2FwBgI6smisvdIjPS3NXlR%2FAggressor%20Detection.png?alt=media&amp;token=d800294d-579a-4c01-939a-1a09d1d1180b">Aggressor Detection.png</a></td><td><a href="/getting-value-from-tensorleap/agressors-detection.md">Agressors detection</a></td></tr><tr><td></td><td><h4><strong>Active Learning</strong></h4></td><td>Quickly identify high-impact samples for labeling in large datasets</td><td><a href="https://3509361326-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9UXeOlFqlw8pl79U2HGU%2Fuploads%2FWvGM9tiuWfXkHo8k3yIc%2FScreenshot%202026-05-06%20at%2012.44.23.png?alt=media&amp;token=8f029c0b-cbe4-4fd7-840f-da6cca652d57">Screenshot 2026-05-06 at 12.44.23.png</a></td><td><a href="/getting-value-from-tensorleap/active-learning.md">Active Learning</a></td></tr><tr><td></td><td><h4>Domain Adaptation</h4></td><td>Gain intelligent analysis of new environments before making deployment decisions</td><td><a href="https://3509361326-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9UXeOlFqlw8pl79U2HGU%2Fuploads%2FS6MFPKx58km8mhl6O7DJ%2FScreenshot%202026-05-06%20at%2012.51.16.png?alt=media&amp;token=63cf5895-ab71-4549-8574-72462ea2614e">Screenshot 2026-05-06 at 12.51.16.png</a></td><td><a href="/getting-value-from-tensorleap/domain-gap-analysis.md">Domain Gap Analysis</a></td></tr><tr><td></td><td><h4>Synthetic Data Optimization</h4></td><td>Transform the typically complex and iterative process of synthetic data generation</td><td><a href="https://3509361326-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9UXeOlFqlw8pl79U2HGU%2Fuploads%2FmffioWjfwS4OniVJc9A9%2FScreenshot%202026-05-06%20at%2012.57.51.png?alt=media&amp;token=c1c332e1-137e-48b7-a784-2e88b46dd82a">Screenshot 2026-05-06 at 12.57.51.png</a></td><td><a href="/getting-value-from-tensorleap/synthetic-data-optimization.md">Synthetic Data Optimization</a></td></tr><tr><td></td><td><h4>Unlabelled Data Evaluation</h4></td><td>Estimate model behavior on unlabeled data by computing Predicted Metrics</td><td><a href="https://3509361326-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9UXeOlFqlw8pl79U2HGU%2Fuploads%2FZqSswcxiXS3JOpPy7u5n%2FScreenshot%202026-05-06%20at%2016.26.12.png?alt=media&amp;token=0d9b4a9c-9121-48a0-a8a7-a00b406d80b5">Screenshot 2026-05-06 at 16.26.12.png</a></td><td></td></tr><tr><td></td><td><h4>Dataset Pruning</h4></td><td>Remove redundant samples while preserving the diversity and balance of your dataset</td><td><a href="https://3509361326-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9UXeOlFqlw8pl79U2HGU%2Fuploads%2FbSwfJ5QdAcGc0VO3leDE%2FGemini_Generated_Image_m1givpm1givpm1gi.png?alt=media&amp;token=a6e30228-1c9e-47db-9fde-a3992c85acd2">Gemini_Generated_Image_m1givpm1givpm1gi.png</a></td><td><a href="/getting-value-from-tensorleap/pruning.md">Pruning</a></td></tr></tbody></table>


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