Automatic SQL injection and database takeover tool

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 RN…

An open source multi-tool for exploring and publishing data

Anomaly detection related books, papers, videos, and toolboxes

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

Production-ready, Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

Make your functions return something meaningful, typed, and safe!

A fancy and practical functional tools

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.

Malware Configuration And Payload Extraction

Persistent/Immutable/Functional data structures for Python

Jupyter notebooks in the terminal

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

NOT MAINTAINED - A simple Rust like Result type for Python 3. Fully type annotated.

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

A task runner that works well with poetry.

Extra blocks for scikit-learn pipelines.

LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.

An Aspiring Drop-In Replacement for NumPy at Scale

『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)

Machine Learning / Natural Language Processing / Information Retrieval

Advanced Python linting framework with auto-fixes and hierarchical configuration that makes it easy to write custom in-repo lint rules.

Hypermodern Python

An extension of XGBoost to probabilistic modelling