Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
Statsmodels: statistical modeling and econometrics in Python
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
π Efficient implementations for emerging model architectures
An object-oriented algebraic modeling language in Python for structured optimization problems.
A python Linear Programming API
A package for the sparse identification of nonlinear dynamical systems from data
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.
π₯€ RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
A Distributed Attention Towards Linear Scalability for Ultra-Long Context, Heterogeneous Data Training
high-performance linear attention kernel library built on TileLang
emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
CUDA kernels for linear attention variants, written in CuTe DSL and CUTLASS C++.
SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable SparseβLinear Attention
PyLops β A Linear-Operator Library for Python
A Python native dynamical system simulation framework in the block diagram paradigm.
Swap a large text encoder for a small one with a learned linear projection. MiniMax H3 conditioning from 15.7 GB down to 5.2 GB.
Source-grounded public context for η«ζ£: Superlinear posts, selected comments, YouTube, Public Axioms V1, and γηζ¬δΊγ.
Memory-efficient CTC loss with exact loss and first-order gradient equivalence under vocabulary reduction, and activation memory that no longer scales linearly with vocabulary size.
GTR: Gated Token Recurrence for Efficient Dense Prediction
Exact chemical equation balancing with rational linear algebra.
Shotcut v26.9.27 β Shotcut is a free, open source, cross-platform video editor. Info page and download link. Third-party software; all rights belong to the original authors.
Two solvers for finite two-player games: fully-mixed Nash equilibrium for m x n normal-form games via linear programming, and subgame-perfect equilibrium for extensive-form games via backward induction.
Zeline β an open-source agentic AI framework developed by Zerolinear.
Piecewise-Taylor Attention
SSOG-Attention: Near-linear Visual-Attention and competitive results on ImageNet.
Independent from-scratch implementation of the Kimi K3 architecture (arXiv:2607.24653v1): KDA, NoPE, latent-space MoE, and the systems co-designs. Table 1 reproduced to 0.09%.
Optimized local serving engine for Kimi-Linear-48B: INT4 quantizer, fused decode kernels for a measured 3.18x, and an OpenAI-compatible server. Ships with k3, a bridge that detects the client per request so Claude Code, Codex, Cline, Aider and opencode all work unchanged.
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Implementation of BDH-CQ: In-Context Learning with Recurrent Latent Reasoning, proposed by Pathway Research
Exploring Learning and Optimization for Robot Motion Planning and Control.