Havuz

:sunrise: A comprehensive, cutting-edge open-source framework for next-generation Transformers, with compute-matched benchmarking and a plat

Local AI BGM and sound effects for Claude Code and any MCP client. Stable Audio 3 on Apple Silicon (MLX) and Windows NVIDIA GPUs (PyTorch).

Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning

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

OpenMythos, Claude Mythos’un gerçek mimarisini temsil ettiği kanıtlanmayan, araştırma literatürüne dayalı varsayımsal bir Recurrent-Depth Transformer uygulamasıdır.

Neden yükseliyor · Claude Mythos’a doğrudan atıf yapan adı ve açıklaması, varsayımsal mimariyi incelemek isteyenlerin ilgisini çekmiş olabilir; 162 günde 14.904 yıldız bu ilgiyi gösteriyor. Bu, benimseme veya teknik doğrulama kanıtı değil: son 28 günde commit ve farklı yazar sayısı sıfır.

Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security

Phonon: open speech recognition models (Phonon-2, Phonon-1) — CLI, CPU and CUDA images

Automated alignment adjustment for LLMs — direct steering, LoRA, and MoE expert-granular abliteration, optimized via multi-objective Optuna

GlobalPointer-BiLSTM reference implementation for joint entity and relation extraction

Bilingual (中文+EN) ML / LLM / diffusion / agent interview cheat sheets for AI 秋招 — generated by ARIS /interview-cheatsheet, rendered by /rend

本地优先的全栈 AI 创作工作站：AI对话 · AI漫画 · 漫剧创作 · 写作台 · 知识学习五大模块；vLLM / llama.cpp / Transformers 多引擎本地推理，显存智能调度、舱壁隔离自愈、仅供学习使用，欢迎交流指正。（最新进度（除插件系统）受到协议限制，

🚀🚀 A multimodal System One decision model that gives calibrated answers to typed questions about screens, photos, video and text in one forw

Ultralytics YOLO26 quickstart for detection, instance and semantic segmentation, depth estimation, classification, pose, OBB, and tracking.

Production-ready, bleeding-edge, upstream-first vLLM Docker image for the NVIDIA DGX Spark (GB10 / sm_121a), verified against real models on

A self-hosted studio for generating images, video, and audio with diffusion models.

Transformers for decision models: fine-tune, load and serve calibrated decsion-model on any Hugging Face model.

A fancy NVIDIA GPU monitor for the terminal. One Python file, no dependencies.

Taiwanese Hokkien (Taigi) speech-to-text transcriber - MediaTek Breeze-ASR-26 with faster-whisper, tuned for RTX 3050 4GB low-VRAM GPUs. Gra

Lev: Thinking Fast and Deep with Looped Decision Models. One checkpoint, multiple depths: System 1.5 decision models that think in loops, no

One embedding space for text, image, video, audio, thermal, motion, and touch. Open weights, self-hostable.

Train JEV-style System 1 decision models on Qwen3.5 and Qwen3.8-27B: 24-slot decision head, KL distillation, calibration and serving. 在 Qwen

AuK, tek bir doğal dil talimat arayüzüyle konuşma üretimi ve düzenleme görevlerini gerçekleştiren açık ağırlıklı bir speech modelidir.

Neden yükseliyor · Yeni yayımlanmış bir model olarak kısa sürede 1308 yıldız almış; son 28 gündeki 30 commit ve 5 farklı yazar da aktif geliştirmeye işaret ediyor. README ayrıca vLLM-Omni, SGLang-Omni ve audio.cpp desteğini, modelin farklı inference ekosistemlerine taşınmasını sağlayan somut ilgi göstergeleri olarak listeliyor.

Qwen-Image-2.1 ile Apple Silicon üzerinde yerel görsel üretimi ve çoklu görsel düzenleme sağlayan bir CLI ile helmstudio’ya bağlı web arayüzü sunuyor.

Neden yükseliyor · Beş günlük yaşında 55 yıldız ve son 28 günde 12 commit, iki farklı yazar görünüyor. Bu ilk ilgi ve geliştirme hareketliliğine işaret ediyor; ancak kısa geçmiş ve sınırlı yazar sayısı benimsenme ya da kalıcı bakım kanıtı değil.

Confucius4-TTS: a Multilingual and Cross-Lingual Zero-Shot TTS Engine

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

Single-GPU LLM fine-tuning preflight: memory estimates, runnable LoRA/QLoRA recipes, and local measurements.

From teacher to tiles — a from-scratch LLM distillation & serving engine: custom Triton/CUDA kernels, FSDP distillation, paged-KV continuous

Open-source CLI, API, web UI, and reproducible benchmarks for probabilistic AI-generated image detection.

From PyTorch model to end-to-end TensorRT inference experience in two commands—AI-native, cross-platform, and built for the best possible us

AI Auto Annotation & YOLO Training Pipeline, End-to-end object detection auto-labeling and YOLO training platform. VLM-powered annotation wi

A Personalized Federated Learning (PFL-HCare) framework for IoT healthcare. Features MAML meta-learning, Differential Privacy (RDP), and gra

Official code for Echo-Memory: a controlled study of memory in action-conditioned video world models (Context, Compression, Spatial, State-S

To know what models don't say out loud.

Full-featured DAW, DJ, and VJ app interoperable w/Ableton, Reaper, Resolume & more. Stable Audio 3, Magenta RT2, Suno API, Chimera track fus

从 MiniMind 源码读起,再延伸到现代大模型技术体系的中文学习笔记。主线逐行精读预训练 / SFT / DPO / PPO / GRPO 与训练机制;附录 17 篇进阶卷覆盖量化、投机解码、RLHF 全景、模型代际史等 MiniMind 没涉及、但进阶绕不开的主题。

A curated collection of AI learning materials

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

Split FLUX.2 and LTX 2.3 across two GPUs (LAN or same-machine) — NVENC compresses activations live on the wire. Icarus (ComfyUI node) + Daed

Self-Tuning Multi-Agent AI Trading System 2026: 8-Source Signal Fusion & Kronos Model

WarMatrix 2026: Next-Gen Tactical Simulation & AI Command Console

Official Implementation of LongLive-RAG: A general retrieval-augmented framework for long video generation.

PyTorch 기반 한국어 LLM 구현 및 학습 프로젝트

Tiny local text-to-24x24 pixel art model, trained on roughly 200K samples in 30 minutes on an RTX 5090.

FSQ K-line foundation model for China A-share stock selection, with a containerised multi-factor research platform: data governance, factor

Building a small LLM in PyTorch from scratch - a step-by-step journey inspired by Stanford CS336.

An optimized handwritten digit recognition model delivering exceptional accuracy, high-speed performance, and compatibility with low-end har

First open-source implementation of Google TurboQuant (ICLR 2026) -- near-optimal KV cache compression for LLM inference. 5x compression wit

🌹 Rose: Range-Of-Slice Equilibration PyTorch optimizer. Stateless optimization through range-normalized gradient updates.

Local decision engine with typed, calibrated outputs (Noul/Choice/Score): cheap→strong cascade, ECE/Brier calibration, SystemOne protocol in

The htop for LLM inference see exactly where every GB of VRAM goes and get measured quantization savings.