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CUDA accelerated rasterization of gaussian splatting
bradymadden97 / freephite
Forked from searleser97/graphite-cliGraphite's CLI makes creating and submitting stacked changes easy.
[IEEE T-PAMI] Awesome BEV perception research and cookbook for all level audience in autonomous diriving
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
PyTorch implementation for the paper "Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving"
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
Taming Transformers for High-Resolution Image Synthesis
A latent text-to-image diffusion model
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
Official code base of the BEVDet series .
Vim plugin for black-macchiato integration
Google Research
A collection of libraries to optimise AI model performances
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities
OpenMMLab's next-generation platform for general 3D object detection.
OpenMMLab Detection Toolbox and Benchmark
A deep learning library for video understanding research.
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute