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A curated list of must-read papers on knowledge editing for large language models.
BERT - Pre-trained NLP models and TensorFlow code for natural language understanding
Rasa is an open-source framework for building conversational AI agents with NLU and dialogue management.
A powerful multi-object tracking library with modular SOTA tracking modules for segmentation, detection, and pose estimation.
An LLM-based multimodal agent framework designed to operate smartphone apps
A powerful multi-resolution diffusion transformer for fine-grained Chinese text understanding and generation.
Collection of generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
An AI multi-agent framework in .NET for building conversational chatbots and intelligent agents.
A no-code platform for building custom LLM Agents with semantic search, chatbots, and more.
A versatile TypeScript-based tool that transforms web content into LLM-ready data for AI/ML applications.
PyTorch implementation of Fully Convolutional Networks for semantic segmentation.
LocalAGI is a self-hostable AI agent platform focused on privacy and flexibility, with advanced capabilities for consumer-grade hardware.
A fair-code licensed automation tool with a free community edition and powerful enterprise options, allowing developers to build AI functionality into their workflows.
An open-source tool for AI model generation, next-gen Blender rendering, and texture enhancement/generation.
A repository of custom instructions for using the ChatGPT language model effectively.
An end-to-end object detection library with learnable proposals, suitable for AI/ML developers.
A PyTorch library for joint discriminative and generative learning for person re-identification.
RayLLM is a framework for serving large language models (LLMs) on the Ray distributed computing platform.
A PyTorch-based deep reinforcement learning library for developing AI agents and algorithms.
SlimYOLOv3 is a narrower, faster and better object detection model for real-time applications on UAVs.
Aircraft design optimization made fast through computational graph transformations and composable analysis tools.
Curated resources for data science and machine learning in production
A framework to enable multimodal AI models to control a computer, automating various tasks.
An open-source Python library for democratizing deep learning in drug discovery, quantum chemistry, materials science, and biology.
Rust bindings for the C++ API of PyTorch, a popular deep learning and machine learning library.
A powerful debugging, monitoring and visualization tool for Python Machine Learning and Data Science workflows.
Eureka is a research repository for developing human-level reward design for large language models.
A library for single- and multi-modal speaker verification, recognition, and diarization.
A comprehensive AI content generation and publishing system for WeChat, supporting multi-source data collection, intelligent analysis, and automated publishing.
A curated list of awesome papers and resources for building recommender systems using large language models (LLM).
An interactive visualization library for exploring and interpreting topic models built with natural language processing.
Microsoft.Recognizers.Text is a library for recognizing and resolving numbers, units, date/time in multiple languages.
A Python-based desktop AI assistant that integrates with various LLMs and AI tools for coding, task automation, and more.
A collection of pre-trained models for the dlib computer vision and machine learning library.
A repository with exercises for the Deep Learning textbook, focused on machine learning and AI.
A multilingual dialog corpus for building chatbots and conversational AI systems.
A deep learning-based framework for Structure from Motion (SfM) from visual geometry.
A Python library that provides dynamic thresholding (CFG scale fix) for Stable Diffusion AI models.
A Kubectl plugin that creates Kubernetes manifests using large language models (LLMs) like GPT-4.
A knowledge graph attention network for building explainable recommendation systems.
BlackJAX is a Bayesian inference library for Python, focused on ease of use, speed, and modularity.
A Python library for building and training graph neural networks, a powerful technique for modeling graph-structured data.
This is a comprehensive guide for building with the LLaMA language model, covering inference, fine-tuning, and end-to-end solutions.
TextBlob is a simple, Pythonic library for natural language processing tasks like sentiment analysis, part-of-speech tagging, and more.
A comprehensive code repository for the popular 'Python Machine Learning (2nd edition)' book, covering data science, machine learning, and deep learning topics.
Flower is a federated learning framework that enables machine learning on decentralized data.
Run your own GPTChat Telegram bot with a single command, powered by the OpenAI API.
High-performance symbolic regression library for Python and Julia, with support for explainable AI.
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