#
n0kovo
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A bot to scrape google streetview and a CNN to classify countries.
Scrape arbitrarily sized images from google streetview for basically free!
A place to store my own wordlists, and link to others that are useful
A powerful and user-friendly binary analysis platform!
Document (PDF, Word, PPTX ...) extraction and parse API using state of the art modern OCRs + Ollama supported models. Anonymize documents. Remove PII. Convert any document or picture to structured …
psexecsvc - a python implementation of PSExec's native service implementation
Securely access a server's terminal even when they are behind firewalls
Quality-Aware Image-Text Alignment for Opinion-Unaware Image Quality Assessment
An implementation of Mistral.ai's Mixtral in Apples MLX Framework: Pre-train and Fine-tune Mixtral on your MacBook
Uncensor LLMs via abliteration - no TransformerLens
Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.
Adaptive Resonance Abliteration (ARA) is a novel technique that combines elements of abliteration and reverse abliteration with principles from adaptive resonance theory (ART) in neural networks.
Package for extracting and mapping the results of every single tensor operation in a PyTorch model in one line of code.
Interpretability for sequence generation models 🐛 🔍
Python module for creating and using probes with PyTorch modules.
A library to inspect and extract intermediate layers of PyTorch models.
This project explores the concepts of abliteration and its logical opposite reverse abliteration, two novel techniques for modifying pre-trained language models. We'll compare these approaches to t…
Curated list of project-based tutorials
A lightning-fast Zig-powered event loop for Python's asyncio.
[CVPR 2023] Effcient Frequence Domain-based Transformer for High-Quality Image Deblurring
Implements harmful/harmless refusal removal using pure HF Transformers
sandbox approach for malware developers and red teamers to test payloads against detection mechanisms before deployment
Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"
