yuxwind

yuxwind's Stars

• probml/pyprobml

  Python code for "Probabilistic Machine learning" book by Kevin Murphy

  Language:Jupyter Notebook6.6k1924561.5k

• VainF/Torch-Pruning

  [CVPR 2023] DepGraph: Towards Any Structural Pruning

  Language:Python2.7k36363337

• he-y/Awesome-Pruning

  A curated list of neural network pruning resources.

  2.4k8828329

• princeton-vl/DROID-SLAM

  Language:Python1.8k42125302

• google/brain-tokyo-workshop

  🧠🗼

  Language:Jupyter Notebook1.3k3827335

• Hyperparticle/one-pixel-attack-keras

  Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

  Language:Jupyter Notebook1.2k2926216

• ayushidalmia/awesome-fashion-ai

  A repository to curate and summarise research papers related to fashion and e-commerce

  1.2k884242

• turkyden/lizhi

  🎸 李志 (B 仔) 音乐作品跨平台播放器，支持 Web / Mac / Windows / Linux

  Language:TypeScript90251481

• amirgholami/PyHessian

  PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

  Language:Jupyter Notebook6911419118

• facebookresearch/open_lth

  A repository in preparation for open-sourcing lottery ticket hypothesis code.

  Language:Python6275612112

• jwangjie/Gaussian-Process-Regression-Tutorial

  An Intuitive Tutorial to Gaussian Processes Regression

  Language:Jupyter Notebook55194108

• Alpha-VL/ConvMAE

  ConvMAE: Masked Convolution Meets Masked Autoencoders

  Language:Python486113641

• ChenLiu-1996/CitationMap

  A simple pip-installable Python tool to generate your own HTML citation world map from your Google Scholar ID.

  Language:Python44611332

• AdamCobb/hamiltorch

  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks

  Language:Jupyter Notebook426142163

• zdhNarsil/Awesome-GFlowNets

  A curated list of resources about generative flow networks (GFlowNets).

  41632125

• NVlabs/Taylor_pruning

  Pruning Neural Networks with Taylor criterion in Pytorch

  Language:Python31417567

• lmbxmu/HRank

  Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map

  Language:Python252122549

• mmuckley/torchkbnufft

  A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.

  Language:Python21574245

• dsgissin/DiscriminativeActiveLearning

  Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

  Language:Python2025255

• HLinChen/VCR-GauS

  [NeurIPS 2024] VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction

  Language:Python125664

• daseyb/gpis-light-transport

  Code for the paper "From microfacets to participating media: A unified theory of light transport with stochastic geometry"

  Language:C++73901

• IST-DASLab/WoodFisher

  Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)

  Language:Python46936

• Shiweiliuiiiiiii/In-Time-Over-Parameterization

  [ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, Decebal Constantin Mocanu, Mykola Pechenizkiy

  Language:Python46216

• Eclipsess/CHIP_NeurIPS2021

  Code for CHIP: CHannel Independence-based Pruning for Compact Neural Networks (NeruIPS 2021).

  Language:Python333176

• RecursionSheep/MeshSimplification

  Implementation of the paper "Surface Simplification Using Quadric Error Metrics"

  Language:C++13016

• Kommiu/GEM-CNN

  Pytorch implementation of Gauge Equivariant Mesh CNN papers

  Language:Python9562

• benweishi/FD-ridge-regression

  Language:Python3002

• ParkLabML/Dirichlet_Pruning

  Language:Python330

• shib0li/BMFAL-BC

  Repository of Batch Multi-Fidelity Active Learning with Budget Constraints

  Language:MATLAB2101

• tbxiao/gaomingqi.github.io

  Personal website of Mingqi Gao, on the basis of Academic pages: https://academicpages.github.io

  Language:HTML200