Showing 1781-1800 of 2,862 projects
JPHP is an implementation of PHP on the Java Virtual Machine, providing a high-performance, extensible PHP runtime.
Cabal is the official package manager and build system for the Haskell programming language.
SEAL is a self-adapting language model that can continuously learn and improve its performance on various NLP tasks.
A smart pointer library for C that provides automatic memory management features.
A cross-platform IDE and shell for building applications with C#, C++, and other languages.
Fluid is an open-source .NET template engine based on the Liquid template language.
A protocol that defines a common language for debug adapters to communicate with IDEs and other tools.
An ultra-lightweight Python interpreter that runs with only 4KB of RAM, targeting embedded and IoT devices.
An IO wrapper around TypeScript language services, allowing for easy consumption by editor plugins.
GPT-2 multi-language pre-trained models, including a 1.5B parameter Chinese model, for text generation and NLP tasks.
A curated list of awesome resources for using large language models in autonomous driving development.
An open-source implementation for fine-tuning Qwen-VL series, a multimodal vision-language model by Alibaba Cloud.
OpenCodeInterpreter is an open-source suite of code generation systems that enhances AI-powered code capabilities.
An open-source project focused on building a large language model that understands human emotions and relationships, with tutorials on prompt engineering, RAG, agents, and LLM fine-tuning.
Clojure programming language for the Erlang Virtual Machine (BEAM) ecosystem.
A comprehensive guide to implementing large language models with LangChain for AI/GenAI applications.
A PyTorch-based toolkit for knowledge distillation in natural language processing tasks.
A rigorous benchmark for evaluating the code quality and efficiency of large language models like GPT-4.
QuickRedis is a free, feature-rich Redis Desktop Manager that supports cluster mode, multiple languages, and large databases.
This is a large language model (LLM) focused on mental health, with pre/post-training, datasets, evaluation, and deployment tools.
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