The fast, flexible, and elegant library for parsing and manipulating HTML and XML.
mlpack: a fast, header-only C++ machine learning library
The fast & forgiving HTML and XML parser
Lightning fast C++/CUDA neural network framework
Standards compliant HTML filter written in PHP
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
Core ML model zoo for iOS/macOS — PyTorch models converted to ready-to-use .mlpackage, each with a conversion script and SwiftUI sample app. Sibling repos cover Apple's Core AI framework (iOS/macOS 27) and on-device LLMs.
Reference implementations of MLPerf® training benchmarks
SimpleSAMLphp is an application written in native PHP that deals with authentication.
Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks.
a CSS selector compiler & engine
Enterprise admin platform in Go on go-kratos (Ent): Protobuf as the single API contract with full-stack codegen (Go APIs + TypeScript clients, one-click CRUD scaffolds), multi-tenant RBAC (Casbin / OPA / Zanzibar), TOTP MFA, 180-day audit logging aligned with China MLPS 2.0 (等保) — with Vue3 (Vben / Element Plus) and React 19 (Antd) frontends.
ComfyUI custom nodes for MiniMax H3 long-form video/audio generation with streamed Sol attention, compressed KV, adaptive VRAM guards, chunked MLP/final output, and SAFE long-sequence optimizations for limited VRAM.
NVIDIA Sol-Attn for ComfyUI / Triton kernel on SM89 - SM121, with zero-copy MiniMax H3 nodes: memory-efficient attention, scheduled tau with graph preview, and feed-forward chunking. Measured 1.14–1.44× vs SageAttention and −37% MLP peak VRAM on H3
VRAM-efficient MiniMax H3 for ComfyUI: QKV/RoPE/MLP activation chunking, automatic OOM chunk reduction, and CK/SLA/Sol/Hybrid attention for SM75 and SM80+ GPUs.