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    <title>PyPI recent updates for airborne-antara</title>
    <link>https://pypi.org/project/airborne-antara/</link>
    <description>Recent updates to the Python Package Index for airborne-antara</description>
    <language>en</language>    <item>
      <title>0.1.144</title>
      <link>https://pypi.org/project/airborne-antara/0.1.144/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Wed, 06 May 2026 19:54:13 GMT</pubDate>
    </item>    <item>
      <title>0.1.143</title>
      <link>https://pypi.org/project/airborne-antara/0.1.143/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Wed, 06 May 2026 19:40:17 GMT</pubDate>
    </item>    <item>
      <title>0.1.142</title>
      <link>https://pypi.org/project/airborne-antara/0.1.142/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Wed, 06 May 2026 19:29:51 GMT</pubDate>
    </item>    <item>
      <title>0.1.141</title>
      <link>https://pypi.org/project/airborne-antara/0.1.141/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Wed, 06 May 2026 19:04:33 GMT</pubDate>
    </item>    <item>
      <title>0.1.140</title>
      <link>https://pypi.org/project/airborne-antara/0.1.140/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Wed, 06 May 2026 18:10:16 GMT</pubDate>
    </item>    <item>
      <title>0.1.139</title>
      <link>https://pypi.org/project/airborne-antara/0.1.139/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Wed, 06 May 2026 17:55:07 GMT</pubDate>
    </item>    <item>
      <title>0.1.138</title>
      <link>https://pypi.org/project/airborne-antara/0.1.138/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Wed, 06 May 2026 17:29:36 GMT</pubDate>
    </item>    <item>
      <title>0.1.137</title>
      <link>https://pypi.org/project/airborne-antara/0.1.137/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Mon, 04 May 2026 11:31:44 GMT</pubDate>
    </item>    <item>
      <title>0.1.136</title>
      <link>https://pypi.org/project/airborne-antara/0.1.136/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Mon, 04 May 2026 11:06:11 GMT</pubDate>
    </item>    <item>
      <title>0.1.135</title>
      <link>https://pypi.org/project/airborne-antara/0.1.135/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Mon, 04 May 2026 10:40:17 GMT</pubDate>
    </item>    <item>
      <title>0.1.134</title>
      <link>https://pypi.org/project/airborne-antara/0.1.134/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Mon, 04 May 2026 10:12:48 GMT</pubDate>
    </item>    <item>
      <title>0.1.133</title>
      <link>https://pypi.org/project/airborne-antara/0.1.133/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Mon, 04 May 2026 08:59:21 GMT</pubDate>
    </item>    <item>
      <title>0.1.132</title>
      <link>https://pypi.org/project/airborne-antara/0.1.132/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Mon, 04 May 2026 05:18:05 GMT</pubDate>
    </item>    <item>
      <title>0.1.131</title>
      <link>https://pypi.org/project/airborne-antara/0.1.131/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Mon, 04 May 2026 05:08:35 GMT</pubDate>
    </item>    <item>
      <title>0.1.130</title>
      <link>https://pypi.org/project/airborne-antara/0.1.130/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Mon, 04 May 2026 04:54:34 GMT</pubDate>
    </item>    <item>
      <title>0.1.121</title>
      <link>https://pypi.org/project/airborne-antara/0.1.121/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Mon, 04 May 2026 04:24:06 GMT</pubDate>
    </item>    <item>
      <title>0.1.120</title>
      <link>https://pypi.org/project/airborne-antara/0.1.120/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Mon, 04 May 2026 03:19:56 GMT</pubDate>
    </item>    <item>
      <title>0.1.119</title>
      <link>https://pypi.org/project/airborne-antara/0.1.119/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Sun, 03 May 2026 18:13:46 GMT</pubDate>
    </item>    <item>
      <title>0.1.118</title>
      <link>https://pypi.org/project/airborne-antara/0.1.118/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Sun, 03 May 2026 15:43:59 GMT</pubDate>
    </item>    <item>
      <title>0.1.117</title>
      <link>https://pypi.org/project/airborne-antara/0.1.117/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Sun, 03 May 2026 13:43:27 GMT</pubDate>
    </item>    <item>
      <title>0.1.116</title>
      <link>https://pypi.org/project/airborne-antara/0.1.116/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Sun, 03 May 2026 12:32:40 GMT</pubDate>
    </item>    <item>
      <title>0.1.115</title>
      <link>https://pypi.org/project/airborne-antara/0.1.115/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Sun, 03 May 2026 11:27:04 GMT</pubDate>
    </item>    <item>
      <title>0.1.114</title>
      <link>https://pypi.org/project/airborne-antara/0.1.114/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Sun, 03 May 2026 10:46:48 GMT</pubDate>
    </item>    <item>
      <title>0.1.113</title>
      <link>https://pypi.org/project/airborne-antara/0.1.113/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Sun, 03 May 2026 09:19:12 GMT</pubDate>
    </item>    <item>
      <title>0.1.112</title>
      <link>https://pypi.org/project/airborne-antara/0.1.112/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Sun, 03 May 2026 08:31:44 GMT</pubDate>
    </item>    <item>
      <title>0.1.111</title>
      <link>https://pypi.org/project/airborne-antara/0.1.111/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Sun, 03 May 2026 04:40:20 GMT</pubDate>
    </item>    <item>
      <title>0.1.109</title>
      <link>https://pypi.org/project/airborne-antara/0.1.109/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Sun, 03 May 2026 04:15:47 GMT</pubDate>
    </item>    <item>
      <title>0.1.108</title>
      <link>https://pypi.org/project/airborne-antara/0.1.108/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Sat, 02 May 2026 17:44:31 GMT</pubDate>
    </item>    <item>
      <title>0.1.107</title>
      <link>https://pypi.org/project/airborne-antara/0.1.107/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Sat, 02 May 2026 17:23:21 GMT</pubDate>
    </item>    <item>
      <title>0.1.106</title>
      <link>https://pypi.org/project/airborne-antara/0.1.106/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Sat, 02 May 2026 13:41:37 GMT</pubDate>
    </item>    <item>
      <title>0.1.105</title>
      <link>https://pypi.org/project/airborne-antara/0.1.105/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Sat, 02 May 2026 13:25:22 GMT</pubDate>
    </item>    <item>
      <title>0.1.104</title>
      <link>https://pypi.org/project/airborne-antara/0.1.104/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Sat, 02 May 2026 11:06:41 GMT</pubDate>
    </item>    <item>
      <title>0.1.103</title>
      <link>https://pypi.org/project/airborne-antara/0.1.103/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Sat, 02 May 2026 09:33:15 GMT</pubDate>
    </item>    <item>
      <title>0.1.102</title>
      <link>https://pypi.org/project/airborne-antara/0.1.102/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Sat, 02 May 2026 09:00:19 GMT</pubDate>
    </item>    <item>
      <title>0.1.101</title>
      <link>https://pypi.org/project/airborne-antara/0.1.101/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Thu, 30 Apr 2026 15:57:18 GMT</pubDate>
    </item>    <item>
      <title>0.1.100</title>
      <link>https://pypi.org/project/airborne-antara/0.1.100/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Thu, 30 Apr 2026 10:34:40 GMT</pubDate>
    </item>    <item>
      <title>0.1.99</title>
      <link>https://pypi.org/project/airborne-antara/0.1.99/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Thu, 30 Apr 2026 10:10:02 GMT</pubDate>
    </item>    <item>
      <title>0.1.37</title>
      <link>https://pypi.org/project/airborne-antara/0.1.37/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Thu, 30 Apr 2026 07:54:56 GMT</pubDate>
    </item>    <item>
      <title>0.1.36</title>
      <link>https://pypi.org/project/airborne-antara/0.1.36/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Wed, 29 Apr 2026 11:05:02 GMT</pubDate>
    </item>    <item>
      <title>0.1.35</title>
      <link>https://pypi.org/project/airborne-antara/0.1.35/</link>
      <description>Production-grade adaptive meta-learning framework for continual model improvement. Implements research DOI: 10.5281/zenodo.17839490.</description>
<author>friday@airbornehrs.in</author>      <pubDate>Wed, 29 Apr 2026 10:34:37 GMT</pubDate>
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