JelleyCat's repositories
OctaveConv_pytorch
Pytorch implementation of Octave convolution
ASIS
Associatively Segmenting Instances and Semantics in Point Clouds
Attention-Augmented-Conv2d
Implementing Attention Augmented Convolutional Networks using Pytorch
AutoDeeplab
Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation
awesome-AutoML-and-Lightweight-Models
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression & Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
awesome-modern-cpp
A collection of resources on modern C++
bilibili-get
Bilibili video downloader.
bilibili_fork
bilibili后台源码
boundary-gp
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
CenterNet
Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .
CuriosityDrivenExplorationBySelfSupervisedPrediction
Reproduction of Curiosity-driven Exploration by Self-supervised Prediction in PyTorch
fuse
The fuse stack provides a general architecture for performing sensor fusion live on a robot. Some possible applications include state estimation, localization, mapping, and calibration.
gans-from-theory-to-production
Material for the tutorial: "Deep Diving into GANs: from theory to production"
glow-pytorch
pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"
inflated_convnets_pytorch
Inflate DenseNet and ResNet as per I3D with ImageNet weight transfer
MetaOptNet
Meta-learning with Differentiable Convex Optimization (CVPR 2019 Oral)
NSCL-PyTorch-Release
PyTorch code for the Neuro-Symbolic Concept Learner (NS-CL).
OctConv
Code for paper
ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
rearrangement-planning
Monte-Carlo Tree Search for Visually Guided Rearrangement Planning
sparse_attention
Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"
Spherical_Regression
PyTorch implementation of cvpr2019 paper "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres".
Universal-segmentation-baseline-Kaggle-Airbus-Ship-Detection
This repo contains full solution for the challenge: from datasets creation to training and creating submit file. Moreover it can be used as a universal high-quality baseline solution for any segmentation task.
unplugged
Open book about math and computer science.