Showing 321-340 of 1,043 projects
T5X is a flexible and extensible framework for training and evaluating T5 models, a popular family of language models.
A large language model developed by Baichuan Intelligent Technology for AI-powered applications and research.
A repository that collects interesting APT reports and special IOCs for cybersecurity researchers and threat hunters.
This is a PyTorch implementation of Cross-lingual Language Model Pretraining, a research project focused on multilingual NLP.
This is a toolkit for penetration testing and security research, not a developer platform focused on vibe coders.
A curated collection of public EEG datasets for researchers and developers working with brain-computer interfaces.
A repository of posters covering various topics for the Home Office Digital team.
A PyTorch implementation of the TabNet paper, a novel deep learning architecture for tabular data.
A curated list of the latest AI research papers from 2021 with explanations and code samples
State-of-the-art image restoration model without nonlinear activation functions
edb is a cross-platform debugger for AArch32/x86/x86-64 architectures, useful for reverse-engineering and security research.
A PyTorch library for meta-learning research, enabling few-shot, fine-tuning, and other advanced ML techniques.
Curated cheatsheets & command snippets for penetration testing and security research
Detect and fingerprint WAF technologies, test bypass techniques for security research
Best practices guide for releasing ML research code with NeurIPS 2020 official recommendations
Pointcept is a codebase for point cloud perception research, featuring the latest works on 3D computer vision.
A repository for quantitative analysis, strategies, and backtests for algorithmic trading and finance research.
LAMMPS is an open-source molecular dynamics simulation software package for researchers and developers working in computational chemistry and physics.
A unified platform for researchers to easily use and integrate various large language models and parameter-efficient techniques.
A curated collection of resources for quant developers, quantitative researchers, and quant traders in finance.
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