yangyang2023a

yangyang2023a's Stars

• NVIDIA/PyProf

  A GPU performance profiling tool for PyTorch models

  Language:Python49546

• zugexiaodui/torch_flops

  A library for calculating the FLOPs in the forward() process based on torch.fx

  Language:Python812

• greenyin/Laryngoscope8

  42

• clovaai/rexnet

  Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

  Language:Python45362

• Nyandwi/ModernConvNets

  Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras

  Language:Jupyter Notebook34340

• Jacky-Android/convnext-v2-pytorch

  Language:Python412

• mamba-org/micromamba-releases

  Micromamba executables mirrored from conda-forge as Github releases

  Language:Python6318

• mamba-org/vscode-micromamba

  A VSCode extension to generate development environments using micromamba and conda-forge package repository

  Language:TypeScript8710

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.3k4.8k

• THU-MIG/RepViT

  RepViT: Revisiting Mobile CNN From ViT Perspective [CVPR 2024] and RepViT-SAM: Towards Real-Time Segmenting Anything

  Language:Jupyter Notebook80060

• shanglianlm0525/CvPytorch

  CvPytorch is an open source COMPUTER VISION toolbox based on PyTorch.

  Language:Python23652

• shanglianlm0525/PyTorch-Networks

  Pytorch implementation of cnn network

  Language:Python1.9k485

• MrRobotsAA/rtdl

  The `rtdl` library + The official implementation of the paper "Revisiting Deep Learning Models for Tabular Data"

  2

• lishuwei0424/Self_Reference_Book_for_VSALM

  Reference_Book_for_VSALM

  7030

• manujosephv/pytorch_tabular

  A standard framework for modelling Deep Learning Models for tabular data

  Language:Python1.4k140

• kathrinse/TabSurvey

  Experiments on Tabular Data Models

  Language:Python27061

• FLHonker/Awesome-Knowledge-Distillation

  Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

  2.5k337

• youngerous/ddgsd-pytorch

  (Unofficial) Data-Distortion Guided Self-Distillation for Deep Neural Networks (AAAI 2019)

  Language:Python145

• shankarpandala/lazypredict

  Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

  Language:Python3k344

• naszilla/tabzilla

  Language:HTML11527

• kalelpark/FT_TransFormer

  DeepLearning for Tabular Data with FT_Transformer & ResNet

  Language:Python153

• pseeth/autoclip

  Adaptive Gradient Clipping

  Language:Python11710

• bhardwajshivam/Gradient-Clipping

  Gradient Clipping is a technique used to tackle the problem of exploding gradients in neural networks, especially during training

  Language:Jupyter Notebook1

• kozistr/pytorch_optimizer

  optimizer & lr scheduler & loss function collections in PyTorch

  Language:Python23719

• marzekan/WCGAN-GP

  TensorFlow 2 implementation of Wasserstein Conditional GAN with Gradient Penalty (WCGAN-GP) for synthetic data generation

  Language:Jupyter Notebook122

• ydataai/ydata-synthetic

  Synthetic data generators for tabular and time-series data

  Language:Jupyter Notebook1.4k235

• analyticalmindsltd/smote_variants

  A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

  Language:Jupyter Notebook635137

• kyegomez/zeta

  Build high-performance AI models with modular building blocks

  Language:Python42041

• kyegomez/Jamba

  PyTorch Implementation of Jamba: "Jamba: A Hybrid Transformer-Mamba Language Model"

  Language:Python13712

• pengzhangzhi/Awesome-Mamba

  Awesome list of papers that extend Mamba to various applications.

  12811