Data World: Scaling Data Environments from Scratch
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols IβIV) β’ Harvard CS249r | https://mlsysbook.ai
π« CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
slime is an LLM training framework for RL Scaling.
A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful programmatic image processing application.
A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps
Code, labs, and resources for O'Reilly AI Systems Performance Engineering: GPU optimization, distributed training, inference scaling, and full-stack tuning.
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
Minimal reproduction of OneRec
DLSS 5 NR on your whole Windows desktop, in real time with Boost, FG, etc. RTX 30/40/50, 12 languages, user presets, recording with audio, one-window mode.
[NeurIPS 2026] Recursive Multi-Agent Systems
Puts DLSS 5 neural rendering into games that never shipped it, and brings the game's own DLSS up to date - super resolution, ray reconstruction, frame generation. Scans your library, picks one of eight routes, fetches every part from its publisher at run time, then says what happened. One exe, no admin; uninstall puts the game back.
[NeurIPS 2025 D&B Spotlight] Scaling Data for SWE-agents
Automation and Scaling of Digital Forensics Tools
MAGI-2-preview: Scaling Video Generation Models Efficiently
A Tree Search Library with Flexible API for LLM Inference-Time Scaling
β‘ Ultra Flash: Scaling Real-Time Streaming Video Generation to High Resolutions
FineEnvs β RL Environments 101: building and scaling RL environments in the age of LLMs
NVIDIA DLSS 5 Neural Rendering (NGX feature 18) as ComfyUI nodes. Enhance image batches and video files with the real neural renderer, with optional upscaling.
The official code of Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence
We propose LeapTalk, a novel framework that achieves stable and real-time talking-head generation with a single forward step, scaling to arbitrarily long videos.
N0-VTLA: Scaling Vision-Tactile-Language-Action Model with Latent Tactile Tokens
Custom NVIDIA 368.81-based XP 32-bit driver with Maxwell/Pascal desktop additions, OpenGL and compute fixes, improved DisplayPort/HDMI scaling, and restored Control Panel features.
[NeurIPS 2026] Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models
Decky Loader plugin for Steam Deck and other SteamOS/Bazzite handhelds: download, build and install HelixSR (a DLSS-based FSR 3.1 replacement) per game, directly or through OptiScaler, and check that it's working.
Open-source code for training and scaling up energy-based foundation models.
Enables real-time data processing and auto-scaling for cloud-based systems and modules. kept simple: just Cloud agnostic deployment
WispOmen is a dynamic, auto-configurable system that leverages real-time processing to enable auto-scaling capabilities for efficient system management.
NeuralRank utilizes distributed neural networks to facilitate real-time, adaptive ranking and scoring through auto-scaling architectures.
A simple OpenOracle manager for auto scaling.
RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance
RagPool enables real-time data processing across a distributed system, utilizing auto-scaling capabilities for optimized performance management.
HashBazaar is a distributed, intelligent data processing framework that auto-scaling for dynamic workload management on a scalable platform.
NVIDIA RTX Video Super Resolution for ComfyUI, optimized for long videos with disk-backed processing and low RAM usage. Supports AI upscaling, denoising, deblurring, H.264/HEVC NVENC encoding, audio preservation, and an integrated video preview.
Automated data preparation for machine learning. Load a dataset, clean, transform, encode, scale and split it, explore it with built-in analysis, and export model-ready data with a full report. Built with Python and Streamlit.
Workflow-compatible NVIDIA RTX Video Super Resolution Pro node for ComfyUI with exact 16K hybrid output, RGB corruption protection, and mm + DPI print sizing.
RLΒ²-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models
Decky Loader plugin to install, configure and monitor OptiScaler per game from the Game Mode on SteamOS/Bazzite/Etc. With live in-game frame generation and upscaler control.
DLSS 5 AIO β official NVIDIA DLSS DLLs (310.7.129) + DLSS 5 Neural Rendering runtime + DLSS5-Swapper & DLSS5-Feeder: DLSS 5 on any game (64/32-bit, D3D9, Vulkan)
Scaling Automatic Research Agents via World Models (arXiv:2608.12564) β project page and code release
Unofficial Windows ComfyUI nodes for NVIDIA DLSS Super Resolution and experimental Neural Rendering, with still and video workflows.
Learned 2x latent upscaling for Qwen Image 2.1 in ComfyUI.
Official codebase for the paper "Sharpening Tax in Post-Training"
ARM AI Image Enhancer is a Windows desktop application that uses AI to enlarge and enhance images. Prepare images for print by setting custom dimensions and DPI, or choose 2Γ, 4Γ, or 8Γ AI upscaling. It also includes optional face recovery, AI canvas expansion, and live previews.
The Upscaling Workflow and Nodeset of your Dreams
An extremely fast SeedVR2 video super-resolution upscaling ComfyUI node.ζεΏ«ηComfyUIε SeedVR2θ§ι’θΆ εζΎε€§θηΉ.
AutoEnvScaling: Automating the Data Flywheel with Terminal Agents
A curated list and taxonomy of test-time robot learning: RL post-training, policy steering, test-time adaptation and training, test-time scaling, in-context learning, and policy self-improvement.
Seamless tiled refinement and upscaling for ComfyUI. The VL nodes step all tiles on one shared latent, conditioned by vision tokens and per-tile captions instead of a prompt, so objects never repeat across tiles. Refine whole images or just a masked region. Any GUIDER model on the base node; Krea 2 on the VL nodes. Tested at 8K+.
Windows GUI and CLI for upscaling video with NVIDIA RTX Video Super Resolution (no ComfyUI or PyTorch needed). Resumable segments for long films, batch queue, before/after preview, 720pβ4K presets that keep aspect ratio, H.264/HEVC/ProRes/DNxHR output, never overwrites.
Code for paper "JailbreakSkill: Scaling Automated Red-Teaming with Reusable and Ever-Evolving Skills."
H3-aware latent upscaling for ComfyUI with automatic 32-pixel alignment.