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    <updated>2026-09-17T19:57:46+00:00</updated>
    <id>https://links.biapy.com/guest/tags/2317/feed</id>
            <entry>
            <id>https://links.biapy.com/links/12259</id>
            <title type="text"><![CDATA[SAM 3D Body]]></title>
            <link rel="alternate" href="https://github.com/facebookresearch/sam-3d-body" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12259"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Robust Full-Body Human Mesh Recovery.

SAM 3D Body is one part of SAM 3D, a pair of models for object and human mesh reconstruction. 

 The repository provides code for running inference with the SAM 3D Body Model (3DB), links for downloading the trained model checkpoints and datasets, and example notebooks that show how to use the model. 

Related contents:

- [Fast SAM 3D Body - Quand l&amp;#039;IA scanne votre corps en 3D en 65ms @ Korben :fr:](https://korben.info/fast-sam-3d-body-reconstruction-temps-reel-robots.html).]]>
            </summary>
            <updated>2026-03-23T15:50:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10571</id>
            <title type="text"><![CDATA[OpenZL]]></title>
            <link rel="alternate" href="https://openzl.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10571"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OpenZL delivers high compression ratios while preserving high speed, a level of performance that is out of reach for generic compressors.

OpenZL takes a description of your data and builds from it a specialized compressor optimized for your specific format.
OpenZL consists of a core library and tools to generate specialized compressors — all compatible with a single universal decompressor. It is designed for engineers that deal with large quantities of specialized datasets (like AI workloads for example) and require high speed for their processing pipelines.

- [OpenZL @ GitHub](https://github.com/facebook/openzl).

Related contents:

- [Introducing OpenZL: An Open Source Format-Aware Compression Framework @ Engineering at Meta](https://engineering.fb.com/2025/10/06/developer-tools/openzl-open-source-format-aware-compression-framework/).]]>
            </summary>
            <updated>2025-10-08T11:54:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2169</id>
            <title type="text"><![CDATA[StyleX]]></title>
            <link rel="alternate" href="https://stylexjs.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2169"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[StyleX is the styling system for ambitious user interfaces. 

StyleX is a JavaScript library for defining styles for optimized user interfaces.

- [StyleX @ GitHub](https://github.com/facebook/stylex).

Related contents:

- [Either Tailwind is CSS-in-JS or StyleX isn’t @ Naman](https://nmn.sh/blog/2025-09-14-tailwind-is-css-in-js).
- [A breakdown of style solutions for 2025 @ Theo - t3.gg&amp;#039;s YouTube](https://www.youtube.com/watch?v=lIUp8bdKiq4&amp;amp;t=632s).
- [StyleX: A Styling Library for CSS at Scale @ Engineering at Meta](https://engineering.fb.com/2025/11/11/web/stylex-a-styling-library-for-css-at-scale/).
- [Moving Linear from styled‑components to StyleX @ Kenneth Skovhus](https://www.skovhus.dev/blog/moving-linear-from-styled-components-to-stylex).
- [A deep dive into StyleX @ Flavio Copes](https://flaviocopes.com/stylex/).
- [#1035: Why everyone is moving to Stylex? @ Syntax](https://syntax.fm/show/1035/why-everyone-is-moving-to-stylex).]]>
            </summary>
            <updated>2026-09-17T06:39:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5180</id>
            <title type="text"><![CDATA[RocksDB]]></title>
            <link rel="alternate" href="https://rocksdb.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5180"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Persistent Key-Value Store for Flash and RAM Storage

- [RocksDB](https://github.com/facebook/rocksdb/).

Related contents:

- [How we replaced Elasticsearch and MongoDB with Rust and RocksDB @ Radar](https://radar.com/blog/high-performance-geocoding-in-rust).
- [RocksDB development finds a CPU bug @ RocksDB](https://rocksdb.org/blog/2026/02/17/cpu-bug.html).
- [How MVCC and Transactions Work in RocksDB @ Artem Krylysov](https://artem.krylysov.com/blog/2026/07/23/how-mvcc-and-transactions-work-in-rocksdb/).]]>
            </summary>
            <updated>2026-07-24T12:10:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5211</id>
            <title type="text"><![CDATA[Yoga Layout]]></title>
            <link rel="alternate" href="https://yogalayout.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5211"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Yoga is a cross-platform layout engine which implements Flexbox.

Build flexible layouts on any platform with a highly optimized open source layout engine designed with speed, size, and ease of use in mind.

[Yoga @ GitHub](https://github.com/facebook/yoga).]]>
            </summary>
            <updated>2025-08-29T06:25:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5243</id>
            <title type="text"><![CDATA[Threads API]]></title>
            <link rel="alternate" href="https://threads.junho.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5243"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Making Threads Work in Code.

 Unofficial, Reverse-Engineered Node.js/TypeScript client for Meta&amp;#039;s Threads. Supports Read and Write. Web UI Included. 

[Threads API @ GitHub](https://github.com/junhoyeo/threads-api/).]]>
            </summary>
            <updated>2025-08-29T06:31:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5314</id>
            <title type="text"><![CDATA[Segment Anything]]></title>
            <link rel="alternate" href="https://segment-anything.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5314"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Segment Anything Model (SAM): a new AI model from Meta AI that can &amp;quot;cut out&amp;quot; any object, in any image, with a single click.

SAM is a promptable segmentation system with zero-shot generalization to unfamiliar objects and images, without the need for additional training.

[Segment Anything @ GitHub](https://github.com/facebookresearch/segment-anything)]]>
            </summary>
            <updated>2025-08-29T06:43:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5440</id>
            <title type="text"><![CDATA[ImageBind]]></title>
            <link rel="alternate" href="https://github.com/facebookresearch/ImageBind" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5440"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[ImageBind One Embedding Space to Bind Them All.

PyTorch implementation and pretrained models for ImageBind. For details, see the paper: ImageBind: One Embedding Space To Bind Them All.

ImageBind learns a joint embedding across six different modalities - images, text, audio, depth, thermal, and IMU data. It enables novel emergent applications ‘out-of-the-box’ including cross-modal retrieval, composing modalities with arithmetic, cross-modal detection and generation.]]>
            </summary>
            <updated>2025-08-29T07:03:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5518</id>
            <title type="text"><![CDATA[Buck2]]></title>
            <link rel="alternate" href="https://buck2.build/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5518"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A large-scale build tool. The successor to Buck. Ready for users ∈ {C++, Python, Rust, Erlang, OCaml}.

Buck2, a large scale, fast, reliable, and extensible build tool developed and used by Meta. Buck2 supports a variety of languages on many platforms.

[Buck2 @ GitHub](https://github.com/facebook/buck2).]]>
            </summary>
            <updated>2025-08-29T07:17:00+00:00</updated>
        </entry>
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