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[NeurIPS 2025] SpatialLM: Training Large Language Models for Structured Indoor Modeling
Rust is the language of choice for those looking for high performance, memory safety and all the tools needed to write error free code with ease. In this tutorial I created a full course on program…
Text-audio foundation model from Boson AI
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
GUI application for viewing and editing resources found in games powered by Decima Engine
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focuse…
Implementation of the paper "Denoising Diffusion Probabilistic Models" in PyTorch
FlowGram is an extensible workflow development framework with built-in canvas, form, variable, and materials that helps developers build AI workflow platforms faster and simpler.
AI education materials for Chinese students, teachers and IT professionals.
A GUI client for Windows, Linux and macOS, support Xray and sing-box and others
This is the official repository for The Hundred-Page Language Models Book by Andriy Burkov
Open-source video compositing software. Node-graph based. Similar in functionalities to Adobe After Effects and Nuke by The Foundry.
Simple Byte pair Encoding mechanism used for tokenization process . written purely in C
Official repository for our work on micro-budget training of large-scale diffusion models.
Minimal reproduction of DeepSeek R1-Zero
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A Clash GUI based on tauri. Supports Windows, macOS and Linux.
A resource for learning about Machine learning & Deep Learning
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
A library for efficient similarity search and clustering of dense vectors.
PyTorch Tutorials from my YouTube channel