Showing 1-20 of 83 projects
DeepSeek-V3 is a large-scale MoE language model with 671B parameters, optimized for efficiency and performance.
Visual code-free web crawler/spider with GUI for data collection and automation
Elegant HTTP networking library for Swift
DeepSpeed optimizes deep learning training and inference with distributed computing techniques.
ChatGLM-6B is an open-source bilingual dialogue language model with 6.2B parameters, optimized for Chinese and English conversations.
Train a 26M GPT from scratch in 2h
Parameter-efficient fine-tuning for large models
An open-source AutoML toolkit for automating the machine learning lifecycle, including feature engineering, neural architecture search, and hyperparameter tuning.
A Python library for using and fine-tuning over 900 large language models and multimodal models for various AI tasks.
A PyTorch library that implements various attention mechanisms and other neural network components for visual tasks.
A type-safe search params state manager for React frameworks, allowing URL query string management.
A Python Automated Machine Learning tool that optimizes ML pipelines using genetic programming.
A TypeScript library that makes it easy to work with URL paths and parameters in web applications.
A Python library for web fuzzing and parameter discovery, useful for pentesting and security research.
A flexible and powerful parameter server for large-scale machine learning models and distributed training.
This project fine-tunes the LLaMA language model to follow instructions within 1 hour and 1.2M parameters.
Learn about Linux network performance parameters and sysctl variables.
An open-source anomaly detection library with state-of-the-art algorithms and features like experiment management and edge inference.
An Objective-C library for fine-tuning and adjusting parameters for iOS apps during development.
Generates shellcode that runs .NET Assemblies, PE files, and other Windows payloads from memory.
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