Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.
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Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.
Modular and decentralised honeypot
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
A Blender add-on to import models from google maps
🌐 The easiest way to parse and modify URLs in Python.
Caffe models in TensorFlow
Misago is fully featured modern forum application that is fast, scalable and responsive.
Make videos on the computer you already own. FreeVideo runs MiniMax H3 in as little as 8 GB of VRAM and 16 GB of RAM, and adapts its acceleration path to your hardware.
🤖 Open-source, local-first alternative to Grok Bot, OpenAI dots and Claude Duet. Your own AI bots on any model: GPT, Claude, Gemini, Grok, DeepSeek, Kimi, GLM and 70+ more through one Modelflare key. Reach them in the app, WeChat or Feishu; they remember you, work in the background, run commands and use your computer. Pay per use.
TranslatedTranslators is a library that aims to bring free, multiple, enjoyable translations to individuals and students in Python.
Algorithms for explaining machine learning models
A pythonic interface to Amazon's DynamoDB
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
Simple, modern and fast file watching and code reload for Python, written in Rust
Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.
A collection of research papers on decision, classification and regression trees with implementations.
Modern Honey Network