https://pypi.org/project/visionforge-studio/ Recent updates to the Python Package Index for visionforge-studio en https://pypi.org/project/visionforge-studio/0.15.0/ Local-first computer-vision experimentation platform: five task families, multi-seed replicates with confidence intervals, K-fold CV, sweeps and full run provenance — on your own GPU. marcusvinicius0083@gmail.com Fri, 16 Oct 2026 20:27:48 GMT https://pypi.org/project/visionforge-studio/0.14.0/ Local-first computer-vision experimentation platform: five task families, multi-seed replicates with confidence intervals, K-fold CV, sweeps and full run provenance — on your own GPU. marcusvinicius0083@gmail.com Thu, 15 Oct 2026 13:13:27 GMT https://pypi.org/project/visionforge-studio/0.13.0/ Local-first computer-vision experimentation platform: five task families, multi-seed replicates with confidence intervals, K-fold CV, sweeps and full run provenance — on your own GPU. marcusvinicius0083@gmail.com Mon, 12 Oct 2026 01:12:07 GMT https://pypi.org/project/visionforge-studio/0.12.0/ Local-first computer-vision experimentation platform: five task families, multi-seed replicates with confidence intervals, K-fold CV, sweeps and full run provenance — on your own GPU. marcusvinicius0083@gmail.com Sun, 04 Oct 2026 12:43:36 GMT https://pypi.org/project/visionforge-studio/0.11.0/ Local-first computer-vision experimentation platform: five task families, multi-seed replicates with confidence intervals, K-fold CV, sweeps and full run provenance — on your own GPU. marcusvinicius0083@gmail.com Wed, 23 Sep 2026 18:52:26 GMT https://pypi.org/project/visionforge-studio/0.10.0/ Local-first computer-vision experimentation platform: five task families, multi-seed replicates with confidence intervals, K-fold CV, sweeps and full run provenance — on your own GPU. marcusvinicius0083@gmail.com Sat, 29 Aug 2026 03:42:12 GMT https://pypi.org/project/visionforge-studio/0.9.1/ Local-first computer-vision experimentation platform: five task families, multi-seed replicates with confidence intervals, K-fold CV, sweeps and full run provenance — on your own GPU. marcusvinicius0083@gmail.com Fri, 28 Aug 2026 23:56:33 GMT https://pypi.org/project/visionforge-studio/0.9.0/ Local-first computer-vision experimentation platform: five task families, multi-seed replicates with confidence intervals, K-fold CV, sweeps and full run provenance — on your own GPU. marcusvinicius0083@gmail.com Fri, 28 Aug 2026 19:23:40 GMT https://pypi.org/project/visionforge-studio/0.8.0/ Local-first computer-vision experimentation platform: five task families, multi-seed replicates with confidence intervals, K-fold CV, sweeps and full run provenance — on your own GPU. marcusvinicius0083@gmail.com Fri, 21 Aug 2026 13:22:47 GMT https://pypi.org/project/visionforge-studio/0.7.0/ Local-first computer-vision experimentation platform: five task families, multi-seed replicates with confidence intervals, K-fold CV, sweeps and full run provenance — on your own GPU. marcusvinicius0083@gmail.com Tue, 11 Aug 2026 23:28:16 GMT https://pypi.org/project/visionforge-studio/0.6.0/ Local-first computer-vision experimentation platform: five task families, multi-seed replicates with confidence intervals, K-fold CV, sweeps and full run provenance — on your own GPU. marcusvinicius0083@gmail.com Sat, 08 Aug 2026 21:39:37 GMT https://pypi.org/project/visionforge-studio/0.5.1/ Local-first computer-vision experimentation platform: five task families, multi-seed replicates with confidence intervals, K-fold CV, sweeps and full run provenance — on your own GPU. marcusvinicius0083@gmail.com Fri, 07 Aug 2026 21:34:23 GMT https://pypi.org/project/visionforge-studio/0.3.0/ Local-first computer-vision experimentation platform: five task families, multi-seed replicates with confidence intervals, K-fold CV, sweeps and full run provenance — on your own GPU. marcusvinicius0083@gmail.com Wed, 05 Aug 2026 13:03:46 GMT https://pypi.org/project/visionforge-studio/0.1.0/ Local-first computer-vision experimentation platform: five task families, multi-seed replicates with confidence intervals, K-fold CV, sweeps and full run provenance — on your own GPU. marcusvinicius0083@gmail.com Wed, 29 Jul 2026 15:23:37 GMT