Zero-lll

Zero-lll's Stars

• li012589/NeuralWavelet

  Implementation for the paper "Learning Non-linear Wavelet Transformation via Normalizing Flow"(arXiv:2101.11306)

  Language:Python305

• yiusay/precomputed_radiance_transfer_and_relighting

  Implementation of All-Frequency Shadows Using Non-linear Wavelet Lighting Approximation by Ren Ng et al.

  Language:C++116

• graphdeco-inria/gaussian-splatting

  Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

  Language:Python15.1k2k

• kwea123/ngp_pl

  Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)

  Language:Jupyter Notebook1.3k156

• LiyuanLucasLiu/RAdam

  On the Variance of the Adaptive Learning Rate and Beyond

  Language:Python2.5k334

• hysts/pytorch_image_classification

  PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

  Language:Python1.4k304

• kuangliu/pytorch-cifar

  95.47% on CIFAR10 with PyTorch

  Language:Python6k2.2k

• weiaicunzai/pytorch-cifar100

  Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

  Language:Python4.3k1.2k

• UniBester/AGE

  A implementation of Attribute Group Editing for Reliable Few-shot Image Generation (CVPR 2022)

  Language:Python597

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python23.5k8k

• aladdinpersson/Machine-Learning-Collection

  A resource for learning about Machine learning & Deep Learning

  Language:Python7.8k2.7k

• soumith/dcgan.torch

  A torch implementation of http://arxiv.org/abs/1511.06434

  Language:Lua1.5k415

• bcmi/Awesome-Few-Shot-Image-Generation

  A curated list of papers, code and resources pertaining to few-shot image generation.

  37045

• luost26/diffusion-point-cloud

  :thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)

  Language:Python66891

• autonomousvision/giraffe

  This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"

  Language:Python1.2k160

• menzi11/BullshitGenerator

  Needs to generate some texts to test if my GUI rendering codes good or not. so I made this.

  Language:JavaScript15.7k2.9k

• Pang-Yatian/Point-MAE

  [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning

  Language:Python47457

• microsoft/SpareNet

  Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

  Language:Python14519

• hgpvision/darknet

  darknet深度学习框架源码分析：详细中文注释，涵盖框架原理与实现语法分析

  Language:C1.6k487

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.6k4.1k

• open-mmlab/mmcv

  OpenMMLab Computer Vision Foundation

  Language:Python5.9k1.7k

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python57.2k5.8k

• Fafa-DL/Lhy_Machine_Learning

  李宏毅2021/2022/2023春季机器学习课程课件及作业

  Language:Jupyter Notebook6.3k1.6k

• gbstack/CVPR-2022-papers

  CVPR 2022 papers with code (论文及代码）

  46560

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.5k3.8k

• weslynn/AlphaTree-graphic-deep-neural-network

  AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱

  2.8k599

• mushroom-x/K210_Tutorial

  K210基础入门教程 edit by Kyle阿凯

  Language:Jupyter Notebook17545

• kendryte/kendryte-standalone-demo

  Demo of kendryte k210 standalone SDK

  Language:C23096

• kendryte/PaddlePi

  PaddlePi

  Language:C9364

• name-longming/stm32F407

  在cubemx环境下，使用HAL库，封装的部分模块库，用于各种情况下直接调用，持续更新各类模块库，帮助初学者更快入门，少走弯路

  Language:C10930