Trending Projects

MUNIT is a deep learning-based method for multimodal unsupervised image-to-image translation, enabling vibe coders to create diverse and stylized images.

Simplified implementations of deep learning related works for developers interested in AI and machine learning.

This Python library provides common speech feature extraction functions for automatic speech recognition (ASR) tasks.

A lightweight neural network library in C for building AI-powered applications and tools.

GPflow is a Gaussian processes library built on top of TensorFlow, providing tools for Bayesian machine learning.

A compiler infrastructure for Multi-Level Intermediate Representation (MLIR) used in machine learning and other domains.

Unofficial Parallel WaveGAN repository with PyTorch implementation of various neural vocoders for speech synthesis.

A fast and scalable SVM library for classification and regression tasks on GPUs and CPUs.

An AI-powered text-to-image generation model for creating high-quality images from text prompts.

A library of code samples and examples for deep learning and computer vision, targeting beginners.

A flexible Python library for optical character recognition (OCR) using the CRAFT text detector and Keras CRNN recognition model.

A Python library that provides easy-to-use extractive text summarization using the BERT language model.

A Python library for working with token embeddings from large language models (LLMs).

A differentiable rendering library that enables Monte Carlo ray tracing without approximation for computer graphics and vision applications.

A PyTorch library for easy access to pre-trained models and model components for developers.

Introduction to Parallel Programming class code using CUDA for GPU-accelerated computing

Official implementation of HierSpeech++, a hierarchical speech recognition model.

End-to-end neural table-text understanding models for question answering and table parsing.

A data-centric approach to generating photorealistic human images using StyleGAN, a powerful generative AI model.

A lightweight face detection model with landmark detection, useful for building computer vision applications.

An open-source ML system for the end-to-end data science lifecycle, including Java and Python support.

An architecture-free neural network library for Node.js and the browser, useful for building AI-powered applications.

A deep reinforcement learning library for the Keras deep learning framework, enabling AI-powered applications.

Keras implementation of RetinaNet object detection, a powerful deep learning-based object detection model.

Official PyTorch implementation of the SinGAN paper, a generative model that can be trained on a single natural image.

C++ implementation of large language models ChatGLM-6B, ChatGLM2-6B, ChatGLM3 and GLM4(V) for natural language processing.

This is an unofficial PyTorch implementation of the BigGAN deep generative adversarial network (GAN) model.

An open-source computer vision framework for building machine vision applications in Python.

A C++ API and server for deep learning that supports popular frameworks like PyTorch, TensorFlow, and XGBoost.

A comprehensive collection of resources for human pose estimation using computer vision and deep learning.

A powerful open-source scientific computing environment for JavaScript with GPU acceleration, TeX support, and data visualization.

NVIDIA's WaveGlow is a flow-based generative network for high-quality speech synthesis in Python.

A high-quality neural vocoder and text-to-speech (TTS) library built with PyTorch.

A Python library that provides SOTA compression techniques and efficient LLM inference on Intel platforms to build chatbots quickly.

An open-source Python library for recognizing Chinese characters using a CRNN (Convolutional Recurrent Neural Network) model.

A low-precision matrix multiplication library for performance-critical AI and machine learning applications.

ONNX.js allows developers to run ONNX machine learning models using JavaScript in the browser or Node.js.

Kalliope is a Python framework for creating your own personal assistant with speech recognition and synthesis.

A toolbox of models, callbacks, and datasets for AI/ML researchers using PyTorch.

A living collection of deep learning research problems for AI developers and researchers.

This repository provides code for a paper on using Python execution for visual reasoning tasks.

A powerful Python library for advanced text analytics, including classification, clustering, summarization, and sentiment analysis.

Accurate answers and instant citations for your documents, powered by GPT-3.

A native macOS app that allows you to chat with your favorite LLaMA language models.

Python API client for the popular Stable Diffusion web UI, enabling vibe coders to build AI-powered apps.

A collection of small projects related to Neural Networks and Deep Learning with a focus on computer vision.

A library for using ONNX, an open format for machine learning models, with the TensorFlow deep learning framework.

An open-source chatbot framework for developers to build AI-powered chat applications.

Early stopping implementation for PyTorch, helping prevent overfitting in machine learning models.

A platform for creating, using, and sharing ChatGPT prompts, focused on the vibe coder developer community.