Life & fun · alternatives · 2026
24 alternatives to How Linear Encoders Can Help Improve
magnetic linear encoder
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. How Linear Encoders Can Help Improve launched in 2020; newer entries below may have overtaken it.
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Vision encoder setting new standards in image & video tasks
2025 · ai.meta.com · its alternatives →
- 314
2021 · gist.github.com · its alternatives →
- 4L3
2024 · goodfire.ai · its alternatives →
- 5
GLM-5V-Turbo▲214Vision-to-code foundation model for real GUI automation
Apr 2026 · docs.z.ai · its alternatives →
- 6AP
I made MAIM, an open-source audio plugin that uses real MP3 encoders to distort the sound. I've also added knobs that let you "circuit bend" the encoders, changing parameters that would normally be inaccessible to the user to get strange glitchy sounds. The plugin lets you switch between two MP3 encoders, since under the MP3 standard, the specifics of what to lose in MP3 lossy compression is left up to the encoder. The encoders are LAME, the gold standard for open-source MP3 encoders, and BladeEnc, an old open-source MP3 encoder that has a really bubbly sound and was fun to work with. I'd…
2023 · wildergardenaudio.com · its alternatives →
- 7ML
2022 · github.com · its alternatives →
- 8IS
Hello HN, I'm Ghita, co-founder of ZeroEntropy (YC W25). We build high accuracy search infrastructure for RAG and AI Agents. We just released two new state-of-the-art rerankers zerank-1, and zerank-1-small. One of them is fully open-source under Apache 2.0. We trained those models using a novel Elo score inspired pipeline which we describe in detail in the blog attached. In a nutshell, here is an outline of the training steps: * Collect soft preferences between pairs of documents using an ensemble of LLMs. * Fit an ELO-style rating system (Bradley-Terry) to turn pairwise comparisons into…
2025 · zeroentropy.dev · its alternatives →
- 9AL
Sep 2025 · little-book-of.github.io · its alternatives →
- 10
- 11BV
Vision models have been gaining popularity as a replacement for traditional OCR. Especially with Gemini 2.0 becoming cost competitive with the cloud platforms. We've been continuously evaluating different models since we released the Zerox package last year (https://github.com/getomni-ai/zerox). And we wanted to put some numbers behind it. So we’re open sourcing our internal OCR benchmark + evaluation datasets. Full writeup + data explorer here: https://getomni.ai/ocr-benchmark Github: https://github.com/getomni-ai/benchmark Huggingface:…
2025 · getomni.ai · its alternatives →
- 12OA
I built an experiment that uses an overfitted transformer and arithmetic coding to compress individual files. Instead of training the model to generalize, I train a 900KB transformer to memorize a single file and predict the next byte. Those predictions are fed into an arithmetic coder to produce the compressed output. On a 100MB NYC taxi CSV, it compresses to about 7MB (~0.5 bits/byte). On a 100MB slice of enwik9, it compresses to about 21MB (~1.68 bits/byte). It's pretty slow right now (roughly 20–30 minutes of training and 45 minutes each for compression and decompression on my…
Jun 2026 · its alternatives →
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Olmo Hybrid▲1077B open model mixing transformers and linear RNNs
Mar 2026 · allenai.org · its alternatives →
- 14AG
2017 · github.com · its alternatives →
- 15FG
We developed a new framework that enables flexible control of generated text in language models. By combining several models and/or system prompts in one mathematical formula, it lets you tweak your style and combine model outputs with ease. A handy tool for those working with LLMs, looking for more fine-grained control of stylistic output. More details in our paper: https://arxiv.org/abs/2311.14479. Feedback and potential applications are welcome.
2023 · github.com · its alternatives →
- 16HI
2025 · github.com · its alternatives →
- 17SO
Hi HN - Marcello and Vaibhav here. We built smolmodels to experiment with using LLMs for ML development. It's a fully open-source library that generates complete model training and inference code from natural language descriptions. It combines graph search with LLM code generation to find a model that gives as good predictions as possible. The core idea is that LLMs are overkill for a lot of predictive tasks. Smolmodels automates the trial-and-error process of finding the right model architecture and training approach, letting you build small, specialised models. You can either provide your…
2025 · github.com · its alternatives →
- 18TT
Trim is building a foundation model for physics. We found almost all well-maintained transformer-based architectures are optimized for language models. We’re releasing our own open-source transformer package that is optimized for physics. It achieves a 90% reduction in memory usage and a 3.5x speedup in a standard Navier-Stokes dataset.
2025 · github.com · its alternatives →
- 19SE
Good morning HN! For a while now I have been toying with this idea and now finally have a working prototype. This project allows you to encode secret messages into ordinary looking text by using arithmetic coding with a probability model derived from an LLM. By encrypting the message and then decompressing the encrypted message using the arithmetic coder, you get output which looks just like randomly sampled output from the LLM. Except, it actually encodes your secret messages in the specific choices of tokens. By using authenticated encryption, only a user who knows the key can know that a…
2025 · github.com · its alternatives →
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- 21ZA
Hi everyone, I've made an early version of ZigFormer, a small LLM implemented in Zig with no dependencies on external ML frameworks like PyTorch or JAX. ZigFormer is modelled after a textbook LLM (like GPT-2 from OpenAI) and can be used as a Zig library as well as a standalone application to train a model and chat with it. This was mainly an educational project. I'm sharing it here in case others find it interesting or useful. Link to the project: https://github.com/CogitatorTech/zigformer
Nov 2025 · its alternatives →
- 22AI
My focus has been shifting towards the ML alignment space recently, and in particular the ability to translate large transformer models into human understandable circuits and algorithms. This problem potentially isn't solvable, but it is one that some groups have had success with after large amounts of effort. In attempting to address this issue, I've been developing Transpector. A tool scaling up and reducing the barrier to entry of techniques that these teams have been showing success with. Techniques aiming to understand the internal mechanics of the model. Currently this tool is focused…
2023 · github.com · its alternatives →
- 23ME
2014 · mozjpeg.codelove.de · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →