Backend code to use MCPI's python API to make infinite worlds with custom generation
Does not save player-placed blocks!
Generation is still slow, but it does work and can be changed
Documentation to make custom generation is inside the file.
Demo requires perlin-noise to be installed.
Using Unreliable Pseudo Labels Official PyTorch implementation of Semi-Supervised Semantic Segmentation Using Unreliable Pseudo Labels, CVPR 2022. Ple
RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.
Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting, CVPR 2021. Ayan Kumar Bhunia, Pinaki nath Chowdhury, Yongxin Yan
AdaOPS An implementation of the AdaOPS (Adaptive Online Packing-guided Search), which is an online POMDP Solver used to solve problems defined with th
Myia Myia is a new differentiable programming language. It aims to support large scale high performance computations (e.g. linear algebra) and their g
This repository contains code which implements the Stochastic Gaussian Mixture Model (S-GMM) for event-based datasets Dependencies CMake Premake4 Blaz
SkeletonNet This repository constains the codes and ShapeNetV1-Surface-Skeleton,ShapNetV1-SkeletalVolume and 2d image datasets ShapeNetRendering. Plea
pybdshadow Introduction pybdshadow is a python package for generating, analyzing and visualizing building shadows from large scale building geographic
Torchserve Dashboard Torchserve Dashboard using Streamlit Related blog post Usage Additional Requirement: torchserve (recommended:v0.5.2) Simply run:
qtrader Reinforcement Learning for Portfolio Management Why Reinforcement Learning? Learns the optimal action, rather than models the market. Adaptive
Yet Another Robotics and Reinforcement (YARR) learning framework for PyTorch.
Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction This is the code for the paper Combining E
Shake-Shake regularization This repository contains the code for the paper Shake-Shake regularization. This arxiv paper is an extension of Shake-Shake
pytorch-inpainting-with-partial-conv Official implementation is released by the authors. Note that this is an ongoing re-implementation and I cannot f
LoFTR-with-train-script LoFTR:Detector-Free Local Feature Matching with Transformers CVPR 2021 (with train script --- unofficial ---). About Megadepth
pyLiDAR-SLAM This codebase proposes modular light python and pytorch implementations of several LiDAR Odometry methods, which can easily be evaluated
MOT-Tracking-by-Detection-Pipeline Tracking-by-Detection形式のMOT(Multi Object Trac
Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision Training Efficiency We show the training efficiency of our DSLP model b
[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation [Paper] Prerequisites To install requirements: pip install -r requirements.txt
Easily Extendable Basic Deep Metric Learning Pipeline Karsten Roth ([email
268 Dec 24, 2022
184 Jan 04, 2023
44 Dec 12, 2022
9 Oct 05, 2022
456 Nov 07, 2022
1 Dec 19, 2022
34 Aug 15, 2022
13 Nov 30, 2022
103 Dec 10, 2022
406 Jan 01, 2023
51 Dec 27, 2022
69 Dec 26, 2022
294 Nov 22, 2022
525 Jan 01, 2023
15 Nov 04, 2022
208 Dec 16, 2022
41 Nov 23, 2022
36 Oct 31, 2022
84 Dec 26, 2022
543 Jan 04, 2023