TGINSIGHT SIMILAR POSTS
Source channel @olddriverGDstudy · Post #53 · Mar 24
#知识#接吻 第一式：舔吻 用舌舔对方的上下唇，让对方感受舌部味蕾舔掠的感觉，注意要保持唾液的充分，如果唾液太少，干燥的舔吻会有不舒服的感觉。 第二式：咬吻 用牙齿轻咬对方的唇，但别咬的太用力，以免受伤喔! 第三式：吸吻 轻轻的吸吮对方的唇部；可用自己的唾液轻抹在对方的唇部，然后吸吮干净。 第四式：推动吻 把舌伸进对方口中，让舌与舌互相推放，男生力气应放小，以免女生疼痛；这种互推吻可形成快感。 第五式：吸舌吻 以你的唇含住他的舌，轻轻的吸吮对方的舌头，动作宜缓慢而轻柔，勿过于仓促。 第六式：齿龈吻 用舌探索对方的牙及牙龈的内外两侧，以刺激口内粘膜为目的。动作要仔细，慢，轻柔的介于碰触与不碰触之间，以产生一种特殊的亲密感。 第七式：滑动吻 用舌尖稍用力的舔对方的舌部内侧，由里向外滑舔。 第八式：舔舌吻 双方以舌对舌互舔，以用舌尖为主，不用唇。 第九式：嚼食之吻 咬住对方的舌头，似欲吞食般的吻；请小心别用力过火，只是假装而已。想像对方的舌头是好吃的东西，又咬又舔又吸的想吞进肚子里去。 第十式：律动之吻 以舌在对方的口中，有节奏律动般的的绕着对方的舌尖，画圈似的舔吻。 第十一式：深喉咙吻 将舌深入对方的喉咙重舔。重压，是霸道占有般的吻；这是一种颇不舒服的吻法，但还是有乐在其中的人。 第十二式：热情之吻 将自己的舌把对方的舌包卷于口中，上下左右回旋翻动，用放肆的旋动来增加快感，虽嫌粗鲁但颇具挑战性，是接吻高手必备的技巧之一。 第十三式：甘泉之吻 利用两唇相接时……以舌将自己的唾液渡入对方口中，并吸食对方的唾液。适用于两情相悦且身体健康的爱侣，会觉入口之唾液为琼浆玉液般，世间独有。
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@repo_science · Post #3688 · 11/03/2023, 12:00 PM
#ML 😎 FREE RESOURCES TO LEARN MACHINE LEARNING Intro to ML by MIT Free Course Machine Learning for Everyone FREE BOOK ML Crash Course by Google Advanced Machine Learning with Python Github Practical Machine Learning Tools and Techniques Free Book Python Machine Learning for beginners ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----
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@repo_science · Post #3447 · 07/17/2023, 03:14 PM
#ML 🧠 Machine Learning Expert El aprendizaje automático es un vasto campo con muchos conceptos clave que conocer. Nuestro curso intensivo cubre todos los componentes básicos que necesita para sumergirse en el aprendizaje automático del mundo real. ✍️Ryan Doan | Ex-Amazon ML Infrastructure Engineer 🌐En 📆2022 🔗Link ----- Main channel:@repo_science Coupons:@freecoupons_reposcience -----
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@amneumarkt · Post #687 · 07/18/2025, 06:24 AM
#ml https://aryagxr.com/blogs/intro-to-nmc
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@amneumarkt · Post #682 · 06/27/2025, 05:30 AM
#ml Machine Learning Visualized — Machine Learning Visualized https://ml-visualized.com/?utm_source=substack&utm_medium=email
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@amneumarkt · Post #617 · 08/25/2024, 02:03 PM
#ml What’s Really Going On in Machine Learning? Some Minimal Models—Stephen Wolfram Writings https://writings.stephenwolfram.com/2024/08/whats-really-going-on-in-machine-learning-some-minimal-models/
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@amneumarkt · Post #607 · 07/30/2024, 06:20 AM
#ml Meta's second version of segment anything. https://github.com/facebookresearch/segment-anything-2 They have a nice demo: https://sam2.metademolab.com/
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@amneumarkt · Post #596 · 07/07/2024, 08:53 PM
#ml I was searching for a tool to visualize computational graphs and ran into this preprint. The hierarchical visualization idea is quite nice. https://arxiv.org/abs/2212.10774
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@amneumarkt · Post #595 · 07/06/2024, 10:02 PM
#ml Schmidhuber J. Deep Learning: Our Miraculous Year 1990-1991. In: arXiv.org [Internet]. 12 May 2020 [cited 7 Jul 2024]. Available: https://arxiv.org/abs/2005.05744
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@amneumarkt · Post #575 · 05/09/2024, 07:51 PM
#ml https://github.com/google-research/timesfm
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@amneumarkt · Post #538 · 02/16/2024, 11:21 AM
#ml Like a dictionary Kunc, Vladim’ir, and Jivr’i Kl’ema. 2024. “Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks.” arXiv [Cs.LG], February. http://arxiv.org/abs/2402.09092.
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@amneumarkt · Post #532 · 02/09/2024, 05:35 AM
#ml I got interested in satellite data last year and played with it a bit. It's fantastic. The spatiotemporal nature of it brings up a lot of interesting questions. Then I saw this paper today: Rolf, Esther, Konstantin Klemmer, Caleb Robinson, and Hannah Kerner. 2024. “Mission Critical -- Satellite Data Is a Distinct Modality in Machine Learning.” arXiv [Cs.LG], February. http://arxiv.org/abs/2402.01444.
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@amneumarkt · Post #531 · 02/05/2024, 10:57 AM
#ml Jelassi S, Brandfonbrener D, Kakade SM, Malach E. Repeat after me: Transformers are better than state space models at copying. arXiv [cs.LG]. 2024. Available: http://arxiv.org/abs/2402.01032 Not surprising at all when you have direct access to a long context. But hey, look at this title.
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