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RAGChecker is a fine-grained framework for diagnosing RAG (Retrieval-Augmented Generation) models.
Code for a model that learns to summarize text from human feedback, useful for AI-powered summarization.
A next-generation recommendation system library for building AI-powered content discovery platforms.
VideoX is a collection of video cross-modal models for developers working with AI-powered video tools.
A collection of exercises for the book Artificial Intelligence: A Modern Approach, focused on AI and machine learning.
A Python toolbox for class-incremental learning, a machine learning technique for training models on a continuous stream of data.
Open-source code release for unsupervised object detection and video instance segmentation using AI.
A Python library for bi-level optimization, useful for training AI models and algorithms.
A C++ implementation of popular object detection frameworks like Cascade R-CNN.
A drag-and-drop quantum circuit simulator that runs in the browser for exploring small quantum circuits.
Experts.js provides an easy way to create and deploy OpenAI assistants as modular AI agents with expanded memory and attention.
Facebook's extensions to the Torch/CUNN deep learning framework, primarily for GPU-accelerated neural network computations.
A comprehensive framework for building enterprise-grade conversational AI experiences using Azure Bot Service and Bot Framework.
Coloring black and white images using deep learning techniques, including a Jupyter Notebook tutorial.
A comprehensive library for few-shot learning in Python with PyTorch, featuring state-of-the-art algorithms.
This GitHub repository is a collection of public person re-identification datasets, which are useful for computer vision and AI research.
mlr3 is a next-generation machine learning framework in R that provides a unified API for various ML tasks.
A recurrent neural network trained on Kanye West's discography to generate new rap songs and lyrics.
A collection of TensorFlow tutorials and implementations of deep learning models like CNNs, RNNs, and GANs.
RTP-LLM is a high-performance LLM inference engine from Alibaba for diverse AI applications.
Dramatron is a Jupyter Notebook tool that uses large language models to generate coherent scripts and screenplays.
A collection of Jupyter Notebooks focused on building tools and agents for large language models (LLMs).
A PyTorch-based solution for various text classification models, including FastText, LSTM, TextCNN, and more.
Keras-CV is an industry-strength Computer Vision library for Python that provides robust, high-performance computer vision workflows.
Official repository for a research project on investigating trade-offs in real-world video super-resolution.
TimeCraft is a time series generation framework for building real-world AI applications.
Official PyTorch implementation of the MultiDiffusion model for controlled image generation, presented at ICML 2023.
A Python library that provides a Reinforcement Learning environment using the PyGame game engine.
An efficient multi-scale 3D convolutional neural network for medical image segmentation tasks.
A project that bridges the gap between large language models (LLMs) and recommender systems.
Weave is a toolkit for developing AI-powered applications, built by Weights & Biases.
A Keras implementation of the WaveNet model for audio generation and processing.
A deep dive into the fundamentals of embeddings, a powerful machine learning technique for NLP.
This repository contains machine learning notes, focused on Jupyter Notebooks, for developers interested in learning and exploring the field.
A Chinese named entity recognition (NER) library built using TensorFlow deep learning.
PyTorch implementation of a lossless image compression technique using super-resolution.
A curated list of papers on detecting hallucinations in large language models (LLMs).
A versatile image inpainting model that supports various AI-powered image editing capabilities.
A fast and powerful hierarchical vision transformer for computer vision tasks.
A TypeScript library for training and deploying machine learning models on Node.js using TensorFlow.
A repository containing diagrams for visualizing neural network architectures, useful for AI/ML developers.
A Python library that makes it easy to visualize the activations and gradients of Keras neural networks.
An index of algorithms for offline reinforcement learning (offline-rl) targeting AI and ML researchers.
A privacy-focused middleware for AI-powered applications built on trusted execution environments like Intel SGX.
A Python library for Model-Based Reinforcement Learning research and development.
A Rust-based local video editor for AI video production, focused on the vibe coder community.
limdu is a machine learning library for Node.js that provides a flexible and extensible framework for building AI applications.
A Python-based tool to create eye-catching music posters from Spotify data and lyrics.
DepthAI is a high-performance, low-power embedded AI vision library for building computer vision and spatial AI applications.
pocl is a portable open-source implementation of the OpenCL standard for parallel programming on heterogeneous systems.
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