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Source channel @githubtrending · Post #15340 · Dec 17

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#python#gym#gym_environment#reinforcement_learning#reinforcement_learning_agent#reinforcement_learning_environments#rl_environment#rl_training NeMo Gym helps you build and run reinforcement‑learning training environments for large language models, letting you develop, test, and collect verified rollouts separately from the training loop and integrate with your preferred RL framework and model endpoints (OpenAI, vLLM, etc.). It includes ready resource servers, datasets, and patterns for multi‑step, multi‑turn, and tool‑using scenarios, runs on a typical dev machine (no GPU required), and is early-stage with evolving APIs and docs. Benefit: you can generate high‑quality, verifiable training data faster and plug it into existing training pipelines to improve model behavior. https://github.com/NVIDIA-NeMo/Gym

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#python#gym#gym_environment#reinforcement_learning#reinforcement_learning_agent#reinforcement_learning_environments#rl_environment#rl_training
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IB美术馆

@PaintingCollections2 · Post #3440 · 02/10/2026, 12:07 PM

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[MAKO]MAKO 2025.6.27—2025.10.27 画师：#MAKO 预览未展示全面，全部差分原图和整合压缩包请进入评论区或点击下方超链跳转查看 压缩包 MAKO老师的往期传送门（之后可能会有一期分裂成两期展示，我会标注出来也请注意查看捏） 2025.6.27—2025.10.27 2025.4.27—2025.6.30 2023.4.2—2024.8.16 —————————— 本频道分享的资源切勿进行买卖商用，如有条件还请在画师的赞助支持渠道获取赞助奖励 MAKO老师主页：PixivTwitterPatreonSubscribestarFantiaFanbox —————————— 资源有任何问题请加入下方聊天反馈群进行反馈，爱你们 图集主频道（临时复活版）：@PaintingCollections2 聊天反馈撩骚群：@ChaoJiShiBu 游戏区分馆：@MoNvZhiJia23333 防失联及各附属频道导航：@IBgallery233 求物帖：传送门

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#mako
IB美术馆

@PaintingCollections2 · Post #1222 · 07/06/2025, 04:16 AM

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[MAKO]MAKO 2023.4.2—2024.8.16 画师：#MAKO 预览未展示全面，全部差分原图和整合压缩包请进入评论区或点击下方超链跳转查看 压缩包 MAKO老师的往期传送门（之后可能会有一期分裂成两期展示，我会标注出来也请注意查看捏） 2025.4.27—2025.6.30 2023.4.2—2024.8.16 —————————— 本频道分享的资源切勿进行买卖商用，如有条件还请在画师的赞助支持渠道获取赞助奖励 MAKO老师主页：PixivTwitterPatreonSubscribestarFantiaFanbox —————————— 资源有任何问题请加入下方聊天反馈群进行反馈，爱你们 图集主频道（临时复活版）：@PaintingCollections2 聊天反馈撩骚群：@ChaoJiShiBu 游戏区分馆：@MoNvZhiJia23333 防失联及各附属频道导航：@IBgallery233 求物帖：传送门

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#mako
IB美术馆

@PaintingCollections2 · Post #1212 · 07/05/2025, 07:35 PM

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[MAKO]MAKO 2025.4.27—2025.6.30 画师：#MAKO 预览未展示全面，全部差分原图和整合压缩包请进入评论区或点击下方超链跳转查看 压缩包 MAKO老师的往期传送门（之后可能会有一期分裂成两期展示，我会标注出来也请注意查看捏） 2025.4.27—2025.6.30 —————————— 本频道分享的资源切勿进行买卖商用，如有条件还请在画师的赞助支持渠道获取赞助奖励 MAKO老师主页：PixivTwitterPatreonSubscribestarFantiaFanbox —————————— 资源有任何问题请加入下方聊天反馈群进行反馈，爱你们 图集主频道（临时复活版）：@PaintingCollections2 聊天反馈撩骚群：@ChaoJiShiBu 游戏区分馆：@MoNvZhiJia23333 防失联及各附属频道导航：@IBgallery233 求物帖：传送门

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djangoproject

@djangoproject · Post #314 · 04/26/2017, 04:41 PM

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https://github.com/aio-libs/aiohttp-mako #mako template renderer for #aiohttp.web based on aiohttp_jinja2. Library has almost same api and support python 3.5 (PEP492) syntax. It is used in aiohttp_debugtoolbar.

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#mako#aiohttp
djangoproject

@djangoproject · Post #197 · 11/29/2016, 04:06 PM

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#Mako is a #template library written in Python. It provides a familiar, non-XML syntax which compiles into Python modules for maximum performance. Mako's syntax and #API borrows from the best ideas of many others, including #Django and #Jinja2 templates, #Cheetah, #Myghty, and #Genshi. Conceptually, Mako is an embedded Python (i.e. Python Server Page) language, which refines the familiar ideas of componentized layout and inheritance to produce one of the most straightforward and flexible models available, while also maintaining close ties to Python calling and scoping semantics. http://www.makotemplates.org/

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#mako#template#api#django#jinja2#cheetah#myghty#genshi