Trending Projects

A PyTorch implementation of Deformable Convolution Networks V2 (DCNv2), a powerful computer vision technique.

A PyTorch library for training and evaluating convolutional neural networks (CNNs) for image retrieval.

A Python package for Korean natural language processing, useful for vibe coders building AI-powered apps.

A curated collection of impactful AI prompts across various domains for developers working with large language models.

A free MOOC course on creative applications of deep learning with TensorFlow for developers.

ChainerCV is a Python library for deep learning in computer vision tasks such as object detection and segmentation.

CCNet is a semantic segmentation library that uses Criss-Cross Attention to improve scene parsing performance.

An ID3-based implementation of the ML Decision Tree algorithm in Ruby for use in machine learning projects.

A curated repository of resources related to the past and future of visual programming tools.

PixelNeRF is a Python library for training and using NeRF models for neural volumetric rendering.

Bottom-up attention model for image captioning and visual question answering, built on Faster R-CNN and Visual Genome.

A curated list of awesome symbolic execution resources for developers working with AI tools.

An IBM toolkit for computing on encrypted data without decryption, with demos for secure ML and key-value search.

An AI-powered search engine for developers to discover tools and resources for building with AI.

Slides and Jupyter notebooks for deep learning lectures at a Master's program in data science.

A pix2pix demo that learns from facial landmarks and translates this into a face, useful for AI-powered face generation.

A Java library for recognizing various types of barcodes, ID cards, vehicle plates, and text from images.

A general NeRF acceleration toolbox in PyTorch for efficient neural rendering and computer vision.

A Python library for extracting key information from text documents and visualizing it as a semantic graph.

A collection of attention-based neural network implementations in Python.

An efficient neural architecture search (NAS) method that directly optimizes for the target task and hardware.

StableVideo is a Python library for text-driven, consistency-aware diffusion-based video editing, presented at ICCV 2023.

An experimental Python library for scraping websites using OpenAI's GPT API.

JoJoGAN is a PyTorch-based library for one-shot face stylization, enabling developers to create anime-style portraits.

A library for self-supervised learning on graphs, providing contrastive, generative, and predictive pretext tasks.

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

BASNet is a PyTorch library for boundary-aware salient object detection, useful for computer vision applications.

A low-latency prediction-serving system written in C++ for AI and ML applications.

An open-source differentiable dense SLAM library for PyTorch, focused on 3D reconstruction and robotics.

A Python implementation of training for GPT2, supporting TPUs for AI-focused developers.

A multilingual dialog corpus for building chatbots and conversational AI systems.

StableAnimator is an end-to-end video diffusion framework for synthesizing high-quality, ID-preserving videos from a reference image and pose sequence.

A toolbox to generate adversarial examples that fool neural networks in various ML frameworks.

A Python package for chatting with an AI model and executing the InstructLab workflow to train a model using custom taxonomy data.

An OpenMMLab toolkit for 3D human parametric model development and benchmarking.

NeuralSVG is an official Python implementation of a tool for generating SVG images from neural networks.

This repository contains solutions to assignments for the CS231n course on Convolutional Neural Networks for Visual Recognition.

A C++ library for finding trajectories in large datasets, potentially useful for AI/ML applications.

TorchCraft is a library that connects the Torch deep learning framework to the StarCraft game engine, enabling AI research and development.

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

A curated list of Machine Learning Surveys, Tutorials and Books for developers.

SALMONN is a suite of advanced multi-modal large language models (LLMs) for audio, speech, and video understanding.

This is a best practice deep learning project template architecture for vibe coders.

A curated collection of papers related to Mamba, a framework for building AI-powered applications.

InstaFlow is a Python library that enables one-step Stable Diffusion image generation with Rectified Flow.

A TensorFlow implementation of the Diffusion Convolutional Recurrent Neural Network for spatiotemporal forecasting.

A PyTorch library for semantic segmentation, a computer vision task to classify each pixel in an image.

A Keras implementation of the DeepLab v3+ model with pretrained weights for semantic segmentation tasks.

A comprehensive collection of human pose estimation research papers and resources.

An OpenCL-based FPGA accelerator for convolutional neural networks, ideal for vibe coders working on hardware-accelerated deep learning projects.