Showing 41-60 of 63 projects
Official repository for the Mish activation function, a novel neural network activation function.
A beginner-friendly guide for creating Discord bots using the discord.js library.
A Python library for reconstructing watertight meshes from point clouds using deep learning.
A Go library for validating JSON documents against JSON Schema specifications.
Crinkler is a tool for compressing small 32-bit Windows demoscene executables, popular in the demoscene community.
A PyTorch library for Deep Graph Convolutional Networks (DeepGCNs) and other graph neural network models.
Code for a deep learning-based instance segmentation model designed for real-time performance.
A PyTorch implementation of a Scene Graph Generation method, with visualization and extraction capabilities.
Teaching materials for an applied machine learning course at Cornell Tech, suitable for vibe coders.
A dataset and methods for word-level sign language recognition from video, useful for developers building sign language applications.
This Python-based repository provides examples and code for automating various office tasks like Excel, design, and web scraping.
A PyTorch library for deep learning with SVG data, enabling the generation of vector graphics animations.
A C++ library for calibrating LiDAR-IMU systems without using special targets.
Efficient architectures for interactive conditional GANs, useful for image-to-image translation tasks.
Unofficial PyTorch implementation of the Conformer model for speech recognition tasks.
Official PyTorch implementation of the NVAE deep hierarchical variational autoencoder for AI and ML developers.
An object detection framework that bridges the gap between anchor-based and anchor-free detection models.
This is an applied computational genomics course, not a developer discovery platform for vibe coders.
This GitHub repository contains the winning code for the 2020 Tencent College Algorithm Contest, showcasing the author's strong coding skills.
Repository for the AdaBelief Optimizer, a NeurIPS 2020 Spotlight paper on an adaptive optimizer for AI/ML models.
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