Trending Projects

A comprehensive collection of papers and resources related to image quality assessment (IQA) for developers.

A curated list of advanced retrieval augmented generation (RAG) in Large Language Models.

This GitHub repository contains a dataset for training a raccoon detector using TensorFlow.

This Jupyter Notebook repository likely contains educational content or examples related to deep learning and AI models.

Official implementation of a CVPR 2024 paper on deformable 3D Gaussians for monocular dynamic scene reconstruction.

PromptChains helps developers maximize the intelligence and results of their prompts when using large language models (LLMs).

A generative and self-guided robotic agent that endlessly proposes and masters new skills.

Transforming styles with JS plugins

Suite of tools for deploying and training deep learning models using the JVM

A deep universal probabilistic programming library for Python and PyTorch, enabling Bayesian machine learning.

Python speech recognition library supporting multiple engines and APIs, both online and offline.

A Python library for building and optimizing evolutionary algorithms.

A curated list of responsible machine learning resources for interpretable AI development.

A spreadsheet tool with AI capabilities for data analysis, engineering, and visualization.

A TypeScript-based chatbot document solution powered by GPT and embedding, useful for vibe coders.

A Python library for document AI tasks like layout analysis, table detection, and text extraction.

A Python library for multi-objective optimization, supporting a variety of algorithms like NSGA2, NSGA3, and more.

A collection of Jupyter notebooks with Python code and notes for the book Pattern Recognition and Machine Learning.

A collection of resources for deep learning in natural language processing (NLP)

Comprehensive collection of federated learning resources (papers, frameworks, datasets, tutorials, etc.)

Burr is a Python-based framework for building AI-powered applications and agents that can monitor, trace, and execute on your own infrastructure.

An AI-powered research assistant that helps developers discover and organize research papers using GPT language models.

A Python library for computations and statistics on manifolds with geometric structures, useful for AI/ML developers.

An open-source virtual assistant for Ubuntu-based Linux distributions, focused on speech recognition and natural language processing.

An open-source Python package for extracting radiomics features from 2D and 3D medical images and binary masks.

A collection of awesome test-time (domain/batch/instance) adaptation methods for machine learning models.

A PyTorch library for building Single Headed Attention RNNs, a novel type of neural network for AI applications.

A collection of research papers on autonomous agents and large language models (LLMs) updated daily.

A Chinese natural language processing library for information extraction tasks.

LongBench is a benchmark for evaluating large language models on long-context tasks.

A high-resolution network (HRNet) model for image classification trained on the ImageNet dataset.

A repository showcasing experiments with the combination of ChatGPT and code interpreters for various use cases.

A tool that allows users to upload a photo of their room and generate a dream room using AI.

A comprehensive Chinese textbook on machine learning systems design and implementation.

A curated collection of AI and machine learning learning resources and tutorials for vibe coders

A comprehensive collection of deep learning resources including courses, case studies, and interview questions.

A curated collection of papers and resources about transformer models for computer vision applications.

A Keras library for building sequence-to-sequence models, useful for vibe coders building AI-powered apps.

A collection of system design patterns for building machine learning systems.

Official implementation of the DETR object detection paper with improved DeNoising Anchor Boxes

A C++ library providing wrappers for SIMD intrinsics and optimized mathematical functions.

A simple implementation of the Denoising Diffusion Probability Model (DDPM) for training a U-Net on the CIFAR-10 dataset.

A Python toolkit for building machine/deep learning models on partially-observed time series data

A library for training PyTorch models with differential privacy, enabling privacy-preserving machine learning.

An AI datastore for managing schemas, BLOBs, and predictions to build AI-powered applications.

A powerful multimodal transformer for combining language, vision, and other modalities in AI applications.

An open-source PyTorch implementation of the VQ-VAE-2 model for generating diverse high-fidelity images.

A Python tool that automatically converts videos into optimized social media posts for platforms like Xiaohongshu.

A Python library for sentiment analysis on tweets using various machine learning models.

Code repository for examples in the book 'Generative Deep Learning' focused on AI and ML topics.