AI · alternatives · 2026
24 alternatives to Landmark Papers in Machine Learning
Landmark Papers in Machine Learning. Contribute to daturkel/learning-papers development by creating an account on GitHub.
Landmark Papers in Machine Learning is a curated GitHub repository that collects significant research papers in the machine learning field. It serves researchers, students, and practitioners looking to understand… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Landmark Papers in Machine Learning launched in 2020; newer entries below may have overtaken it.
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data-to-paper: Backward-traceable AI-driven scientific research - Technion-Kishony-lab/data-to-paper
2024 · github.com · its alternatives →
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Built an automated system to run a deep search of ArXiv and carefully find all the precise papers that exist on a complex topic. It's different from simple RAG because it searches, classifies, and adapts based on relevant papers it uncovers, and then continues until it finds every paper on a topic (trying to mimic the human research process). Benchmarked 10x higher accuracy and total retrieval compared to Google Scholar for a median search (whitepaper on website). Also knows when it is complete, and misses virtually nothing (< 3% or so, once it's converged). Website has a free trial and a…
2024 · app.undermind.ai · its alternatives →
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Papers with Code▲184The latest in machine learning at your fingerprints
2019 · huggingface.co · its alternatives →
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Paperguide▲645Discover, read, write and manage research with ease using AI
2024 · paperguide.ai · its alternatives →
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A Linux desktop in the cloud built for Machine Learning
2016 · its alternatives →
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Build with Apple's on-device AI, now open to developers
2017 · machinelearning.apple.com · its alternatives →
- 7IM
As a grad student (and an ADHDer), I had trouble doing literature review systematically. To combat this, I made a website that finds similar papers using the meaning of the thing I am looking for. I used MixedBread's [^1] embedding model to generate vectors from the abstracts. I store and search similar vectors using Milvus [^2] and finally use Gradio [^3] to serve the frontend. I update the vector database weekly by pulling the metadata dataset from Kaggle [^4]. To speed up the search process on my free oracle instance, I binarise the embeddings and use Hamming distance as a metric. I would…
2024 · papermatch.mitanshu.tech · its alternatives →
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Open Paper▲289Hi HN! Open Paper allows you to annotate and understand your research papers with an AI copilot. I wanted a paper-reading assistant that let met actually dig into papers in-place while benefiting from AI tooling. When it comes to studying, I'm not a fan of the typical chat interfaces that obfuscate uploaded files and turn them into black box 'content'. Hence, I've implemented a split-pane view. To mitigate the risk of hallucinations, all AI responses come with grounded citations that refer back to the source material in-flow. Some feature highlights: - Actually read your papers in one place…
2025 · openpaper.ai · its alternatives →
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Scholarcy▲80Generate AI summaries for research papers and articles
2022 · scholarcy.com · its alternatives →
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- 12TM
2021 · papers.labml.ai · its alternatives →
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Distill▲200An interactive, visual journal for Machine Learning research
2017 · distill.pub · its alternatives →
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PaperClip▲98Memorize details from papers in machine learning and AI
2023 · paperclipapp.xyz · its alternatives →
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OpenScholarXIV is an open-source, aesthetic, minimal and AI powered app that allows users to search, read, bookmark, share, download and view summaries of academic papers from the arXiv repository. - ScholarXIV/OpenScholarXIV
2024 · github.com · its alternatives →
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We can now build drastically higher quality search because we can use LLMs in algorithms that mimic a human's systematic research process, instead of just roughly recommending results based on semantic embeddings or term frequency. We built a deep search LLM pipeline that takes a few minutes to carefully search all the scientific literature. You describe your complex goal, as you would to a colleague. Then, we carefully search 200M+ papers. We classify the preliminary results with GPT-4. We then adapt the search goals based on relevant/irrelevant papers uncovered and continue searching,…
2024 · undermind.ai · its alternatives →
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2011 · eferm.com · its alternatives →
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When I read papers, I have to jump between multiple tabs to find the dataset, code, videos, peer reviews, and so on. I tried to fix this with this project. It started as a project just for papers on arXiv, but after its initial success on Twitter (got like 1.9k views: the most I have gotten for a post), I have now expanded it to include other openly available papers from PubMed Central, bioRxiv, medRxiv, and eLife. These papers have been linked with their genes, proteins, diseases, drugs, clinical trials, 3D protein structures, code, and cited and similar papers. This project now has four…
Jul 2026 · tomesphere.com · its alternatives →
- 20RH
Hi Hacker News! I’m a Bayesian statistician that has been working on applying hierarchical mixture models (originally developed for genomics) to structure text data, and in the process, used these models to build (what started as a personal) tool for conducting literature reviews and deep research. My literature review process starts with a broad search to find a few key papers/groups, and from there expands along their citation networks. I needed to conduct a few rounds of literature reviews during the course of my research and decided to build a tool to facilitate this process. The…
Oct 2025 · sturdystatistics.com · its alternatives →
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Nowgoal cập nhật Livescore, BXH, kết quả bóng đá nhanh chóng, chính xác cùng thông tin nổi bật chào mừng Quốc khánh 2/9.
2021 · magicsheets.io · its alternatives →
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TLDRead▲132SparkNotes for research articles - a COVID initiative.
2020 · tldread.org · its alternatives →
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