Aikawa Fuyuka's starred repositories
InterviewThis
An open source list of developer questions to ask prospective employers
PINTO_model_zoo
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
awesome-ChatGPT-repositories
A curated list of resources dedicated to open source GitHub repositories related to ChatGPT
compare_gan
Compare GAN code.
kitti_object_vis
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
denoising-diffusion-gan
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804
FractalDB-Pretrained-ResNet-PyTorch
Pre-training without Natural Images (ACCV 2020 Best Paper Honorable Mention Award)
depth-hints
[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs
DenseDepthMap
Create Dense Depth Map Image for Known Poisitioned Camera from Lidar Point Cloud
3DCrowdNet_RELEASE
Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022
negative-label-smoothing
[ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"
Humanoid-Vision-Engine
code for [ECCV 2022 paper] Contributions of Shape, Texture, and Color in Visual Recognition
bjontegaard_etro
Excel VBA code for calculating Bjontegaard Delta SNR and Rate, using arbitrary number of data points. Complies with VCEG-M33 when using 4 data points.
Towards-Implicit-Text-Guided-Shape-Generation
Towards-Implicit-Text-Guided-3D-Shape-Generation. CVPR 2022
bi-tempered-loss-pytorch
Pytorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences
Video-Interpolation-using-Optical-Flow
In this repository, we deal with the task of video frame interpolation with estimated optical flow. To estimate the optical flow we use Lucas-Kanade algorithm, Multiscale Lucas-Kanade algorithm (with iterative tuning), and Discrete Horn-Schunk algorithm. We explore the interpolation performance on Spheres dataset and Corridor dataset.
Image-Synthesis-for-Machine-Learning
Fork from Unity-Technologies bitbucket. Machine-Learning
fractal-pretraining
Official PyTorch code for the paper "Improving Fractal Pre-training"
stylegan3-anime-faces-generator
Anime face generator StyleGAN3 model
fft-conv-pytorch
Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.