Showing 521-540 of 817 projects
Unsupervised neural & phrase-based machine translation without parallel data
Code for a SIGGRAPH 2020 paper on neural rigging for articulated characters, likely useful for developers working on 3D animation and graphics.
A PyTorch library for working with neural fields like NeRFs, NGLOD, instant-ngp, and VQAD.
Brevitas is a PyTorch library for neural network quantization, enabling efficient hardware acceleration on FPGAs and other devices.
A collection of papers studying machine learning through the lens of category theory for developers.
A PyTorch library for training and evaluating convolutional neural networks (CNNs) for image retrieval.
A deep learning and neural machine translation library built with TensorFlow for sequence learning tasks.
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.
Non-official implementation of the CBAM paper, a convolutional block attention module for neural networks.
An open-source Python library for building artificial neural networks and machine learning models.
A Python library for graph-based anomaly detection and outlier detection, useful for fraud detection and security applications.
A collection of Convolutional Neural Network (CNN) models for EEG signal classification using Keras and Tensorflow
This TensorFlow code implements a curiosity-driven exploration algorithm for deep reinforcement learning.
An open-source tool for scaling, assessing, and maintaining natural language data for AI/ML models.
PixelNeRF is a Python library for training and using NeRF models for neural volumetric rendering.
An IBM toolkit for computing on encrypted data without decryption, with demos for secure ML and key-value search.
A Graph Neural Network Library in Jax for building AI-powered graph-based applications.
A Python library for efficient and scalable data streaming for neural network training on PyTorch.
Slides and Jupyter notebooks for deep learning lectures at a Master's program in data science.
Get weekly updates on trending AI coding tools and projects.