qujz

qujz's Stars

• ArduPilot/ardupilot

  ArduPlane, ArduCopter, ArduRover, ArduSub source

  Language:C++11.4k17.9k

• LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms

  Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

  Language:Jupyter Notebook1.3k303

• guofei9987/scikit-opt

  Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

  Language:Python5.4k995

• datawhalechina/pumpkin-book

  《机器学习》（西瓜书）公式详解

  24.3k4.8k

• tensorly/torch

  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch

  Language:Python7618

• neuraloperator/neuraloperator

  Learning in infinite dimension with neural operators.

  Language:Python2.4k602

• Zeleni9/pytorch-wgan

  Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP

  Language:Python749147

• mangushev/ast

  Implementation of Adversarial Sparse Transformer for Time Series Forecasting

  Language:Python7

• CakeBnut1996/GAN-Time-Series-Regression

  This script is used for numerical values prediction. The example is next two-hour traffic speed prediction based on historical speeds.

  Language:Python11

• thuml/Autoformer

  About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

  Language:Jupyter Notebook2k432

• cognitedata/Steady-State-Detector

  Language:Jupyter Notebook117

• Daikon-Sun/AdjustAutocorrelation

  Adjusting for Autocorrelated Errors in Neural Networks for Time Series

  Language:Python5724

• nok-halfspace/Transformer-Time-Series-Forecasting

  Language:Python387102

• mlpotter/Transformer_Time_Series

  Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)

  Language:Jupyter Notebook555100

• AIStream-Peelout/flow-forecast

  Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

  Language:Python2.1k297

• eriche2016/cvpr_2018_TCL.pytorch

  Language:Python73

• xlliu7/Shrec2018_TripletCenterLoss.pytorch

  Triplet Center Loss for Shape Retrieval

  Language:Python5313

• YYuanAnyVision/mxnet_center_loss

  implement center loss operator for mxnet

  Language:Python19392

• tangzhenjie/fineTune_AlexNet_For_Hash

  the practice of Supervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks

  Language:Python7

• google/FluidNet

  Accelerating Eulerian Fluid Simulation With Convolutional Networks

  Language:Lua744143

• KaiyangZhou/pytorch-center-loss

  Pytorch implementation of Center Loss

  Language:Python976218

• ScanNet/ScanNet

  Language:C1.9k349

• panmari/stanford-shapenet-renderer

  Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.

  Language:Python50695

• canqin001/PointDAN

  Code of NeurIPS19 Paper "PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation".

  Language:Python13124

• charlesq34/3dcnn.torch

  Volumetric CNN for feature extraction and object classification on 3D data.

  Language:Lua22370

• timzhang642/3D-Machine-Learning

  A resource repository for 3D machine learning

  9.8k1.8k

• WeiTang114/BlenderPhong

  Language:Python7917

• RBirkeland/MVCNN-PyTorch

  Language:Python10434

• tforgione/model-converter-python

  Mirror of model-converter-python

  Language:Python356

• pclausen/obj2png

  Python script for converting 3D triangular mesh (obj) to image file (png) with MatPlotLib

  Language:Python6621