Life & fun · alternatives · 2026

24 alternatives to Long-term series forecasting with Query Selector

LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION - moraieu/query-selector

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Long-term series forecasting with Query Selector launched in 2021; newer entries below may have overtaken it.

1
Improving search ranking with chess Elo scores▲193
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 →
2
LockedIn▲134
Fast, Accurate Forecasting with your Excel Data
2024 · app.roadmap-tech.com · its alternatives →
3
Predictive Analytics▲63
The power to predict who will click, buy, lie, or die
2016 · amazon.com · its alternatives →
4
LLM Explorer▲152
Find your best LLM for a local inference
2023 · its alternatives →
5AN
A Natural Language Query Engine Without Machine Learning▲115
2016 · blog.ayoungprogrammer.com · its alternatives →
6
Faster LLM evaluation with Bayesian optimization▲131
Recently I've been working on making LLM evaluations fast by using bayesian optimization to select a sensible subset. Bayesian optimization is used because it’s good for exploration / exploitation of expensive black box (paraphrase, LLM). I would love to hear your thoughts and suggestions on this!
2024 · github.com · its alternatives →
7
Demystifying Advanced RAG Pipelines▲131
I've built an advanced RAG (Retrieval-Augmented Generation) pipeline from scratch to demystify the complex mechanics of modern LLM-powered Question Answering systems. This repository features: -- An implementation of a sub-question query engine from scratch to answer complex user questions. -- Illustrative explanations that unveil the inner workings of the system. -- An analysis of the challenges I faced while working with the system, like prompt engineering and cost estimation. -- Qualitative comparison with similar frameworks like LlamaIndex, offering a broader perspective. Key Takeaway:…
2023 · github.com · its alternatives →
8
ExactScience▲78
An AI-driven rank tracker for scalable content relevance
2023 · exactscience.io · its alternatives →
9
Clef▲128
Open-source decision models from Cloudflare
21d ago · blog.cloudflare.com · its alternatives →
10
BigML▲64
Machine learning as a service - build predictive apps
2014 · bigml.com · its alternatives →
11
Data Robot▲92
Build Better Predictive Models — Faster
2014 · datarobot.com · its alternatives →
12
A reimplementation of Google's sparsehash in C▲22
A simple re-implementation of Google's sparsehash as a learning excercise. - qpfiffer/Simple-Sparsehash
2015 · github.com · its alternatives →
13
Woopra▲76
Event tracking, funnels and cohort analysis in real time
2014 · woopra.com · its alternatives →
14
Talking Machines - Solving intelligence and machine learning fundamentals▲56
Guest: Nando de Freitas (Oxford, Google DeepMind)
2015 · thetalkingmachines.com · its alternatives →
15
Talking Machines: OpenAI and Gaussian Processes▲56
Featuring Ilya Sutskever, director of research for OpenAI
2016 · thetalkingmachines.com · its alternatives →
16
Meqem▲71
Forecasting time series data made easy 📈
2018 · meqem.com · its alternatives →
17
Question Extractor: turn text into LLM finetuning data▲33
Generate question/answer training pairs out of raw text. - nestordemeure/question_extractor
2023 · github.com · its alternatives →
18
CueObserve – Open-source Anomaly detection on SQL data▲9
Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases - cuebook/CueObserve
2021 · github.com · its alternatives →
19
Model2vec – Lightning-fast Static Embeddings for RAG/Semantic Search▲28
We’ve recently open-sourced Model2vec, a method to distill sentence transformers into static embeddings that outperform all previous approaches by a large margin on MTEB. Our new models set a new state-of-the-art for static embeddings. Main features: - Our best model (potion-base-8M) has only 8M parameters, which is ~30mb on disk - Inference is ~500x faster than the distilled base model (bge-base), on a CPU - New models can be distilled in 30 seconds on a CPU without requiring a dataset - just a vocabulary - Numpy-only inference: The packaged can be install the package with minimal…
2024 · github.com · its alternatives →
20NC
No-code, AI/ML time-series predictions▲5
2020 · monument.ai · its alternatives →
21NC
No-code data forecasting to predict non linear trends with seasonality▲6
sybil.dev ist Ihre erste und beste Informationsquelle über sybil. Hier finden Sie auch weitere interessante Links. Wir hoffen, dass Sie bei Ihrer Suche erfolgreich sind!
2020 · sybil.dev · its alternatives →
22
At 16K features, flat autoencoders break. Curved space doesn't▲10
High-Performance Hyperbolic Sparse Autoencoders for Mechanistic Interpretability - vishal-dehurdle/hypersae
Aug 2026 · github.com · its alternatives →
23
Hyperactive – A highly versatile AutoML Toolbox▲7
A unified interface for optimization algorithms and experiments - hyperactive-project/Hyperactive
2021 · github.com · its alternatives →
24ST
Scalable Time Series Modeling with open-source projects▲5
2022 · nixtla.github.io · 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 →