drinkingcoder's repositories

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nerf_pl

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

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AnimateDiff

Official implementation of AnimateDiff.

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deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

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diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

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GMA

Learning to Estimate Hidden Motions with Global Motion Aggregation (ICCV 2021)

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hfnet

From Coarse to Fine: Robust Hierarchical Localization at Large Scale with HF-Net (https://arxiv.org/abs/1812.03506)

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hugo-academic

đź“ť The website builder for Hugo. Build and deploy a beautiful website in minutes!

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instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

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kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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ngransac

Neural-Guided RANSAC for Estimating Epipolar Geometry from Sparse Correspondences

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Point-Transformers

Point Transformers

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pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

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pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

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pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

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RANSAC-Flow

(ECCV 2020) RANSAC-Flow: generic two-stage image alignment

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RLexample

Some basic examples of playing with RL

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stable-dreamfusion

A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.

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SuperPoint

Efficient neural feature detector and descriptor

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Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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taming-transformers

Taming Transformers for High-Resolution Image Synthesis

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threestudio

A unified framework for 3D content generation.

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TransDepth

Code for Transformers Solve Limited Receptive Field for Monocular Depth Prediction

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