Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.
This is the official repo of FlashVSR+: Efficient Video Super-Resolution via Hybrid Attention and Reward-Yield Distribution Matching.
Efficient Mask-Aware Distributed Attention for Long-Context Training
Official code, locked protocols, and audit artifacts for "Jev-Routed Temporal Granularity with Recovery and Hysteresis for Causal Video Generation": per-segment fine/coarse/hold routing for Causal-rCM (Wan2.1-1.3B) via the Jev oracle, with two-GPU (T4/A100) feasibility audits.
A high-throughput and memory-efficient inference and serving engine for LLMs
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Fast and memory-efficient exact attention
An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
๐ค The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
๐ค PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Rebuild the object in a reference image as a code-only, procedural, quality-gated, animation-ready Three.js model. Token-efficient image-to-3D.
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
FreeToken brings datacenter-scale model serving to your desktop. Run massive models locally, fast and efficiently.
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
Efficiently computes derivatives of NumPy code.
Very efficient backup system based on the git packfile format, providing fast incremental saves and global deduplication (among and within files, including virtual machine images). Please post problems or patches to the mailing list for discussion (see the end of the README below).
A framework for efficient model inference with omni-modality models
OpenSquilla โ Token-Efficient AI Agent with same budget, higher intelligence density
Efficient Triton Kernels for LLM Training
๐ Efficient implementations for emerging model architectures
Transparent and Efficient Financial Analysis
๐ฆ CHONK docs with Chonkie โจ โ The lightweight ingestion library for fast, efficient and robust RAG pipelines
A highly efficient implementation of Gaussian Processes in PyTorch
โกFlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
Scalable and efficient data transformation framework - backwards compatible with dbt.
The NVIDIA NeMo Agent toolkit is an open-source library for efficiently connecting and optimizing teams of AI agents.
Efficient Long-Context LLM Serving with Head-Aware KV Reuse and SegPagedAttention
Python library for portfolio optimization built on top of scikit-learn
GenAI Processors is a lightweight Python library that enables efficient, parallel content processing.
Scalable toolkit for efficient model reinforcement
Offensive Web Testing Framework (OWTF), is a framework which tries to unite great tools and make pen testing more efficient http://owtf.org https://twitter.com/owtfp
[CVPR 2026] Towards Real-Time Diffusion-Based Streaming Video Super-Resolution โ An efficient one-step diffusion framework for streaming VSR with locality-constrained sparse attention and a tiny conditional decoder.
VLX-Seek is an efficient VLM that grounds fine-grained visual targets with high precision in wild environments.
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
ShinkaEvolve: Towards Open-Ended and Sample-Efficient Program Evolution ๐งฌ
Toolkit to segment text into sentences or other semantic units in a robust, efficient and adaptable way.
Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.
Access large archives as a filesystem efficiently, e.g., TAR, RAR, ZIP, GZ, BZ2, XZ, ZSTD archives
Zetta is an efficient closed-loop embodied harness for self-evolving physical intelligence. It evolves code-based runtime critics and recovery skills online while keeping the base policy frozen. Project Page: https://air-embodied-brain.github.io/zetta/
Efficient tree implementations for Django
๐งฌ gget enables efficient querying of genomic reference databases
[ICLR 2026] LightMem: Lightweight and Efficient Memory-Augmented Generation
Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]
A WDL, CWL and Python API supporting easy-to-use workflow engine. It is scalable, efficient and cross-platform (Linux/macOS).
Python framework for building efficient data pipelines. It promotes modularity and collaboration, enabling the creation of complex pipelines from simple, reusable components.
SubDominator helps you discover subdomains associated with a target domain efficiently and with minimal impact for your Bug Bounty
efficient arrays of booleans for Python
An efficient implementation of a rate limiter for asyncio.
MemoRizz: A Python library serving as a memory layer for AI applications. Leverages popular databases and storage solutions to optimize memory usage. Provides utility classes and methods for efficient data management.
Trainable fast and memory-efficient sparse attention
An efficient OCR engine for receipt image processing.
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