KubraBoduroglu's starred repositories
remote-jobs
A list of semi to fully remote-friendly companies (jobs) in tech.
instant-ngp-Windows
Instant neural graphics primitives: lightning fast NeRF and more
instantngp-batch
Batch files to quickly prepare images and train a NeRF using Instant-NGP. This project only works for Instant-NGP Binaries on Windows.
tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Deep-Learning-In-Production
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
CVPR2024-Papers-with-Code-Demo
收集 CVPR 最新的成果,包括论文、代码和demo视频等,欢迎大家推荐!Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including papers, code, and demo videos, etc., and welcome recommendations from everyone!
awesome-deep-vision
A curated list of deep learning resources for computer vision
awesome-implicit-representations
A curated list of resources on implicit neural representations.
Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
Papers-in-100-Lines-of-Code
Implementation of papers in 100 lines of code.
Multiview-3D-Reconstruction
Using traditional image processing techniques to construct 3D point cloud of objects. Incremental Structure from Motion (SfM) is used, a popular SfM algorithm for 3D reconstruction for reconstruction. The method is then evaluated using certain 3D reconstruction datasets.
NeuralWarp
Code release of paper Improving neural implicit surfaces geometry with patch warping
awesome-NeRF
A curated list of awesome neural radiance fields (NeRF) papers.
nerf-factory
An awesome PyTorch NeRF library
tiny-cuda-nn
Lightning fast C++/CUDA neural network framework
google-research
Google Research
awesome-NeRF
A curated list of awesome neural radiance fields papers
awesome-neural-rendering
Resources of Neural Rendering