Stars
Code of "OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments".
🔊 Text-Prompted Generative Audio Model
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024
Interact with your documents using the power of GPT, 100% privately, no data leaks
An all in one solution for adding Temporal Stability to a Stable Diffusion Render via an automatic1111 extension
A script to open and close your Somfy (and SIMU) blinds with a Raspberry Pi and an RF emitter.
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
CVPR2023-Occupancy-Prediction-Challenge
General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Lightweight and Progressively-Scalable Networks for Semantic Segmentation
Real-time Neural Representation Fusion for Robust Volumetric Mapping
PyTorch Extension Library of Optimized Scatter Operations
[ICCVW'21] All you need are a few pixels: semantic segmentation with PixelPick
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Gradually-Warmup Learning Rate Scheduler for PyTorch
Bringing Old Photo Back to Life (CVPR 2020 oral)
A PyTorch implementation of EfficientNet
FRIteza - XeLaTeX template for doctoral dissertations at UL FRI
Python code for "Probabilistic Machine learning" book by Kevin Murphy
STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125