open source interpretability platform 🧠
DeepWiki | AI documentation you can talk to, for every repo
DeepWiki provides up-to-date documentation you can talk to, for every repo in the world. Think Deep Research for GitHub - powered by Devin.
Nenex: A Neural Personal Wiki Idea
Proposal for a personal wiki built on neural nets: all edits are logged & used to finetune a NN assistant in realtime.
SmolLM3: smol, multilingual, long-context reasoner
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
#neuroscience #ai #python #opensource #neuroai | Jean-Rémi King
⚡ We're happy to release NeuralSet: a fast, simple, and scalable Python framework for Neuro-AI. Already supports: 🧠 fMRI, EEG, MEG, iEEG, spikes… recordings 💬 text, 🔊 audio, ▶️ video, 🏞️ image… embeddings 📦 `pip install neuralset` 💻 Code: https://lnkd.in/eamwxBUY 📄 Paper: https://lnkd.in/epbreyDy Made possible thanks to: Hubert Banville, Katie Begany, Corentin Bel, Yohann Benchetrit, Teon Brooks, Marlène Careil, Simon Dahan, Stéphane d'Ascoli, Alexandre Défossez, Linnea Evanson, PhD, Pablo J. Diego Simón, Julien Gadonneix, Sophia Houhamdi, Shubh Khanna, Jarod Lévy, Pierre Orhan, Antoine Ratouchniak, Joséphine Raugel, Andrea Elena Santos Revilla, Alexis Thual, Lucy (Mingfang) Zhang, Jérémy RAPIN #Neuroscience #AI #Python #OpenSource #NeuroAI
Going beyond open data – increasing transparency and trust in language models with OLMoTrace | Ai2
Ai2, a non-profit research institute founded by Paul Allen, is committed to breakthrough AI to solve the world’s biggest problems.
DBpedia Abstracts: A Large-Scale, Open, Multilingual NLP Training Corpus
The ever increasing importance of machine learning in Natural Language Processing is accompanied by an equally increasing need in large-scale training and evaluation corpora. Due to its size, its openness and relative quality, the Wikipedia has already been a source of such data, but on a limited scale. This paper introduces the DBpedia Abstract Corpus, a large-scale, open corpus of annotated Wikipedia texts in six languages, featuring over 11 million texts and over 97 million entity links. The properties of the Wikipedia texts are being described, as well as the corpus creation process, its format and interesting use-cases, like Named Entity Linking training and evaluation.
DeepSeek_V4.pdf · deepseek-ai/DeepSeek-V4-Pro at main
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
jedisct1/Qwen3.6-35B-rust.mlx · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
JonasGeiping/stream-qwen3-8b · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
JonasGeiping/stream-qwen3.5-27b · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Zensical
Adaptive systems for evolving ideas – Zensical creates scalable Open Source systems for technical writing that always keep you in the flow
OpenThoughts: Data Recipes for Reasoning Models — Ryan Marten, Bespoke Labs
#neuroscience #ai #python #opensource #neuroai | Jean-Rémi King | 34 comments
⚡ We're happy to release NeuralSet: a fast, simple, and scalable Python framework for Neuro-AI. Already supports: 🧠 fMRI, EEG, MEG, iEEG, spikes… recordings 💬 text, 🔊 audio, ▶️ video, 🏞️ image… embeddings 📦 `pip install neuralset` 💻 Code: https://lnkd.in/eamwxBUY 📄 Paper: https://lnkd.in/epbreyDy Made possible thanks to: Hubert Banville, Katie Begany, Corentin Bel, Yohann Benchetrit, Teon Brooks, Marlène Careil, Simon Dahan, Stéphane d'Ascoli, Alexandre Défossez, Linnea Evanson, PhD, Pablo J. Diego Simón, Julien Gadonneix, Sophia Houhamdi, Shubh Khanna, Jarod Lévy, Pierre Orhan, Antoine Ratouchniak, Joséphine Raugel, Andrea Elena Santos Revilla, Alexis Thual, Lucy (Mingfang) Zhang, Jérémy RAPIN #Neuroscience #AI #Python #OpenSource #NeuroAI | 34 comments on LinkedIn
