ns3284
Follow
Lists (1)
Stars
Annotated version of the Mamba paper
Official Code for Stable Cascade
📽 Capture and develop clips of openpilot. UI optional. Already deployed on Replicate.com for YOUR immediate use!
Blacklist and Adware Blocking for the Ubiquiti EdgeMax Router
Source code for Twitter's Recommendation Algorithm
Image-to-image translation with conditional adversarial nets
InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. Th…
A latent text-to-image diffusion model
A playbook for systematically maximizing the performance of deep learning models.
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Data and code for the paper "A Neural Network Solves, Explains, and Generates University Math Problems by Program Synthesis and Few-Shot Learning at Human Level" by Drori et al., 2022.
[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020
Dell iDrac Install Script for Ubuntu 20.04
A model-agnostic visual debugging tool for machine learning
Matplotlib 3.0 Cookbook, published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
PyTorch Implementation of "DeepCaps: Going Deeper with Capsule Networks" by Jathushan Rajasegaran et al.
Official Implementation of "DeepCaps: Going Deeper with Capsule Networks" paper (CVPR 2019).
Models and examples built with TensorFlow
Datasets, Transforms and Models specific to Computer Vision
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
DeepRacer workshop content. This Guidance demonstrates how software developers can use an Amazon SageMaker Notebook instance to directly train and evaluate AWS DeepRacer models with full control