Pinned Repositories
ai-deadlines
:alarm_clock: AI conference deadline countdowns
APSNet
BasicSR
Open Source Image and Video Restoration Toolbox, especially for Super-Resolution, including EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.
CIPS
Official repository for the paper "Image Generators with Conditionally-Independent Pixel Synthesis" (CVPR2021, Oral)
ClassSR
(CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic
Database_lab2
数据库实验二
DL_lab2
深度学习实验2
HIT_2018_CSAPP
计算机系统课做的实验
HIT_data_structure
数据结构与算法课的实验、作业代码,以及课堂ppt
Server_Manager
Notes about server management
jamekuma's Repositories
jamekuma/Server_Manager
Notes about server management
jamekuma/ai-deadlines
:alarm_clock: AI conference deadline countdowns
jamekuma/APSNet
jamekuma/CIPS
Official repository for the paper "Image Generators with Conditionally-Independent Pixel Synthesis" (CVPR2021, Oral)
jamekuma/ClassSR
(CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic
jamekuma/EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
jamekuma/few-shot-meta-baseline
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
jamekuma/FinGAT
jamekuma/IGNN
Code repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" (NeurIPS'20)
jamekuma/inr-gan
Adversarial Generation of Continuous Images [CVPR 2021]
jamekuma/Invertible-Image-Rescaling
Implementation of paper: Invertible Image Rescaling
jamekuma/jamekuma.github.io
My Blog
jamekuma/learning3d
This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
jamekuma/liif
Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
jamekuma/MetaSampler
[ECCV 2022] Meta-Sampler: Almost Universal yet Task-Oriented Sampling for Point Clouds
jamekuma/MyComplier
哈工大2020年春季学期编译系统实验
jamekuma/myINNSR
本科毕设
jamekuma/Note
jamekuma/openpoints
OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.org/abs/2206.04670)
jamekuma/pointMLP-pytorch
[ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"
jamekuma/Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
jamekuma/PointNeXt
[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
jamekuma/Prototypical-Networks-for-Few-shot-Learning-PyTorch
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
jamekuma/pytorch_wavelets
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
jamekuma/qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
jamekuma/SampleNet
Differentiable Point Cloud Sampling (CVPR 2020 Oral)
jamekuma/second.pytorch
SECOND for KITTI/NuScenes object detection
jamekuma/siren
Official implementation of "Implicit Neural Representations with Periodic Activation Functions"
jamekuma/SpareNet
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)
jamekuma/Temporal_Relational_Stock_Ranking