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- auditing-predictive-models
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Electronic Health Record Analysis with Python.
Unofficial Claude Skill derived from the book Refactoring UI — a design rulebook and diagnostic layer for web UI. 151 tracked rules, design token generation, and Tailwind mappings.
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
A simple extension for Jupyter Notebook and Jupyter Lab to beautify Python code automatically using black.
Elixir plugin for SublimeText 3 providing code completion and linting.
A fully featured, pythonic library for representing and using quaternions
Official Code: Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
A framework for orchestrating forensic collection, processing and data export
Automating captcha solving for Playwright. Supports Cloudflare Turnstile & Interstitial, and reCAPTCHA V2 & V3 with Click-based or API (2captcha) solving. Designed for easy integration with Playwright, Patchright, and Camoufox.
An open-source solution for a SMS API Server hosted locally
Model extraction attacks on Machine-Learning-as-a-Service platforms.
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.
Operational information regarding the 2026 php2shell vulnerabilities
Search and filter videos based on objects that appear in them using convolutional neural networks
TranslatedA Bilibili command-line tool designed for AI Agents: QR code login, watching videos, commenting, direct messages, posting updates, uploading videos, all with JSON output
DC3 Malware Configuration Parser (DC3-MWCP) is a framework for parsing configuration information from malware. The information extracted from malware includes items such as addresses, passwords, filenames, and mutex names.
Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.
NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
UCE is a zero-shot foundation model for single-cell gene expression data