Aikawa Fuyuka (FykAikawa)

FykAikawa

Geek Repo

Company:Waseda Univ

Location:Japan

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Aikawa Fuyuka's starred repositories

FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Language:PythonLicense:Apache-2.0Stargazers:36558Issues:348Issues:1774

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.

Language:PythonLicense:MITStargazers:3522Issues:114Issues:333

awesome-ChatGPT-repositories

A curated list of resources dedicated to open source GitHub repositories related to ChatGPT

compare_gan

Compare GAN code.

Language:PythonLicense:Apache-2.0Stargazers:1822Issues:50Issues:49

chipyard

An Agile RISC-V SoC Design Framework with in-order cores, out-of-order cores, accelerators, and more

Language:ScalaLicense:BSD-3-ClauseStargazers:1583Issues:86Issues:659

EPro-PnP

[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

Language:PythonLicense:Apache-2.0Stargazers:1095Issues:14Issues:90

kitti_object_vis

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

Language:Jupyter NotebookLicense:MITStargazers:1050Issues:15Issues:51

OC_SORT

[CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.

Language:PythonLicense:MITStargazers:757Issues:14Issues:121

denoising-diffusion-gan

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804

Language:PythonLicense:NOASSERTIONStargazers:688Issues:34Issues:40

FractalDB-Pretrained-ResNet-PyTorch

Pre-training without Natural Images (ACCV 2020 Best Paper Honorable Mention Award)

Language:PythonLicense:MITStargazers:203Issues:3Issues:7

depth-hints

[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:185Issues:28Issues:2

DenseDepthMap

Create Dense Depth Map Image for Known Poisitioned Camera from Lidar Point Cloud

Language:MATLABLicense:Apache-2.0Stargazers:170Issues:4Issues:5

3DCrowdNet_RELEASE

Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022

Language:PythonLicense:MITStargazers:156Issues:8Issues:35

GSAM

PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)

Language:PythonLicense:MITStargazers:137Issues:4Issues:7

ASAM

Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.

Language:PythonLicense:Apache-2.0Stargazers:137Issues:6Issues:5

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

Language:PythonLicense:MITStargazers:99Issues:4Issues:8

M2M_VFI

Many-to-many Splatting for Efficient Video Frame Interpolation

Language:PythonLicense:NOASSERTIONStargazers:80Issues:5Issues:15

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.

Language:VBALicense:MITStargazers:80Issues:4Issues:1

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

Language:PythonStargazers:62Issues:3Issues:0

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.

Language:PythonLicense:MITStargazers:27Issues:1Issues:0

Image-Synthesis-for-Machine-Learning

Fork from Unity-Technologies bitbucket. Machine-Learning

Language:C#License:MITStargazers:26Issues:2Issues:0

fractal-pretraining

Official PyTorch code for the paper "Improving Fractal Pre-training"

Language:PythonLicense:MITStargazers:25Issues:1Issues:3

stylegan3-anime-faces-generator

Anime face generator StyleGAN3 model

Language:PythonStargazers:20Issues:2Issues:0

STRPM

STRPM: A Spatiotemporal Residual Predictive Model for High-Resolution Video Prediction, CVPR2022

Language:PythonLicense:MITStargazers:15Issues:1Issues:8

fft-conv-pytorch

Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

Language:Jupyter NotebookStargazers:11Issues:2Issues:2