SOTA Open Source TTS
A 4B grounding foundation model for physical intelligence. Unifies detection, referring, pointing, OCR, GUI, and layout grounding, achieving SOTA overall across 34 benchmarks and improving robot generalization and data efficiency in controlled evaluations.
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
SOTA: strategy-level reinforcement learning for options portfolio management — code release for the paper
An open-source, vector-free long-term memory engine for AI agents, achieving SOTA on LoCoMo and LongMemEval with significantly less context.
A new SOTA for RAG — an original retrieval architecture and an open-source knowledge base for humans and agents.
SOTA-Class TTS at Compact Scale
A library of model optimization techniques (quantization, pruning, distillation, NAS, speculative decoding, sparsity) that exports compressed checkpoints for inference frameworks.
A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
BoxMOT: Pluggable Python and C++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes
A simple SWE-style browser+desktop agent framework that achieves SOTA results on long-horizon CUA tasks
LLM-as-a-Verifier is a general-purpose framework that provides fine-grained feedback for any agent without requiring additional training. It achieves SOTA performance across coding, robotics, and medical agentic benchmarks.
SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime
High-quality implementations of standard and SOTA methods on a variety of tasks.
[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Official implementation of EVOKE: Endless Interactive World with Bounded State and Long-Horizon Supervision. A three-step, CFG-free interactive world model. SOTA on WBench.
GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2025)
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[ICLR 2026] RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation
Breeze TTS 2 nodes for ComfyUI: voice clone, voice design, and voice direction with bilingual (EN/ZH) speech, inline vocal events, INT8 ConvRot quantized builds, and full ComfyUI / AIMDO dynamic-VRAM integration.
从选题到可复现发布:十个可独立安装的科研 agent skill —— 顶会/期刊论文、科研绘图、基金 proposal 撰写、方法迭代到 SOTA、冷审与代码数据发布。Ten installable agent skills for research: scientific figures, conference and journal manuscripts, research funding proposals, method development, cold review and artifact release.
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Code for Zae Myung Kim's paper titled "Meta^n: Recursive Self-Improvement through Emergent Depth"
An open-source document parsing model with SOTA accuracy and speed, using an RSI loop during post-training.