Havuz

A domain-specific medical Retrieval-Augmented Generation (RAG) system that answers health-related questions strictly based on retrieved evid

This project is for learning: it shows how an agent loop works underneath, in a way more intuitive and visual than reading about it. Behind

A computer, compiled into the weights of a language model. An exact CPU inside Qwen3.5-4B, with Gated DeltaNet state as RAM.

A moddable training framework for pre-training ablations.

Runs Hugging Face ONNX models on any Nx backend, with no per-architecture code

Illustrated comic-style cheat sheets for ML, LLMs, AI safety, LeetCode and Git, plus a SwiftUI study app (Panels) to read them and quiz your

Interactive desktop app with 51 labs covering ML fundamentals, transformers, RAG, agents, fine-tuning and quantization and more.

Guía gratuita de IA generativa avanzada en español (311 págs.): Transformer, post-entrenamiento, inferencia, GPU, difusión, agentes, segurid

Instinct: single-forward-pass decision models (choice / true-false / score) returning a probability per candidate

A decision model that returns calibrated answers to yes/no, choice, score and multi-label questions.

AnyJev, open LLM’lerden typed kararlar ve eşiklenebilir olasılıklar üretmek için calibration ve karar katmanları sunan bir Python kütüphanesidir.

Neden yükseliyor · Yedi günde 802 yıldız almış; dikkat çekmesinde etiket gerektirmeyen ilk seviye, az etiketle kalibrasyon iddiası ve modeli fine-tune etmeden karar endpoint’i sunma yaklaşımı etkili görünüyor. Bu ilgi benimseme kanıtı değil; verilen sonuçlar README’deki sınırlı benchmark’a dayanıyor.

an open-source, from-first-principles reconstruction of the ideas behind TypeSafe AI's Jev, written in pytorch

Run SemIf (Jev-style semantic-if decisions) on a CPU — no GPU. Reads typed option probabilities straight from an open model in one forward p

Open-source alternative to TypeSafe's Jev: a System One style model layer that gives typed, calibrated decisions from any open-weights LLM i

Research project on bilingual Urdu-English retrieval-augmented generation for Pakistani government and legal documents, with OCR, hybrid ret

Hardware-aligned latent deliberation framework decoupling System 2 continuous reasoning from System 1 autoregressive decoding.

[arXiv 2026] Code for "Elastic Token Compression for Pixel-Space Diffusion Transformers"

High-performance CUDA inference engine for Qwen models, written from scratch in C++/CUDA

Spark-optimized MLX LM for local inference and deployment on Apple Silicon

Halo is an open-source framework built by White Circle for training large language and multimodal models

Evaan — a fully local, offline-capable AI companion chatbot built with Python & Hugging Face Transformers, running on Qwen2.5-0.5B-Instruct

Low-memory C++20 LLM inference runtime for quantized GGUF models on CPU — mmap-backed weights, paged KV cache, Q4/Q8 kernels, and reproducib

A native macOS lab for teaching tiny language models to think — build the architecture, train the weights, and watch a small LLM emerge from

Interactive, animated architecture maps for any Hugging Face model — no weights downloaded

AI-powered fake news detection system with multiple ML models and explainability.

Distributed 56M-parameter LLM inference across 3 ESP32-S3 boards via ESP-NOW , Split-PLE + KV cache, fully offline.

Build and train a mini Kimi K3 from scratch — a pure-PyTorch playground from a custom 88M model to 2T-scale LLM profiles.

hummingbird is a lightweight, zero dependency runtime for massive open source Mixture of Experts (MoE) language models. It unifies SSD, RAM,

Interactive 3D visualization platform for exploring transformer architectures, tensors, and real-time LLM inference.

Build LLM systems you actually control. A free, open engineering book + course — from tokenization to serving your own models. Mechanisms, t

A mental-model-first field guide to Audio AI — from raw waveforms to production voice systems. Covers ASR, TTS, audio classification, Transf

Jacobian-Brainwash : A manual alignment tool for large language models built on Anthropic's Jacobian Lens. Results are exportable.

Transformer architecture explained step by step - the full architecture, every attention variant, positional embeddings, and every layer ins

To know what models don't say out loud.

OpenAI-compatible server with a live view into any HF model's residual stream. pip install brainscope

Native AI inference for PHP 8.3+ - run ONNX, GGUF (llama.cpp) and RubixML models directly in your PHP process via FFI. Chat, streaming, embe

Publication-quality LLM architecture figures from config.json — Raschka-style towers, diffs, posters, VRAM math. No weights needed.

A stateful AI Intrusion Prevention System (IPS) that reassembles TCP packet fragments in sequence order and uses PyTorch deep learning model

Desktop app for browsing and filtering the Xbox Game Pass catalog with on-device AI genre classification

🧠 One LLM, split across a Mac (Apple MPS) + a Windows PC (NVIDIA CUDA) — heterogeneous pipeline inference over a framework-neutral wire, bit

Why is LLM inference slow — and how do you make it fast? A hands-on, first-principles course: roofline → KV cache → quantization → paralleli

rizzo-pii, İtalyanca hukuk metinlerindeki kişisel verileri yerel olarak tespit edip geri döndürülebilir placeholder’larla maskeleyen bir yazılımdır.

Neden yükseliyor · 91 günde 1057 yıldız ve son 28 günde 25 commit ile 5 farklı yazar görünür ilgi ve yakın dönem geliştirme faaliyeti gösteriyor; yükselişin özel nedeni mevcut verilerden doğrulanamıyor.

A zero-dependency Python module for inspecting and converting coding-agent session files (.jsonl) — Claude Code, Codex, and Pi — into the me

🌟 [Survey & Benchmark] A unified taxonomy, geometric framework, and cross-domain benchmark for modern optimizers

Seven Minutes Is All I Can Spare To Play With You.

Open benchmark for expert collapse and routing efficiency in sparse MoE LLMs

Models Take Notes at Prefill: KV Cache Can Be Editable and Composable (arXiv:2606.17107) — paper, code, results, and interactive companion.

Mechanistic experiments on how LLMs represent and compute arithmetic internally, with strict no-parser controls, reproducible audits, and an

👻 MoEWatch: A lightweight diagnostic and audit library for Mixture-of-Experts (MoE) models in HuggingFace Transformers — the pytest for MoE

211 free visual cards about large language models, from tokenization to deployment. Full collection: 376 cards.