lilujunai Goto Github PK

hw-nas-bench

[ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark

hwd

[ICME-2023] Official implementation for "Holistic Weighted Distillation for Semantic Segmentation".

hybridbinarynetworks-wacv18

Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory - WACV18

hybridnet

Pytorch Implementation of HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning (https://arxiv.org/abs/1807.11407)

hybridnet-1

HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning(shackshack-ResNet)

hypercwd

Opens new tabs with the same directory as the current tab in Hyper

hyperlearn

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

i2vgen-xl

Official repo for VGen: a holistic video generation ecosystem for video generation building on diffusion models

iccv2019-inc

ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild

iebn

The official implementation of paper "Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise".

ilf-for-code-generation

image-captioning

Experiments in image captioning. Classify MNIST sequences with a hybrid CNN-RNN architecture implemented in Pytorch.

image-downloader

Download images from Google, Bing, Baidu. 谷歌、百度、必应图片下载.

image-matching-benchmark

Public release of the Image Matching Benchmark: https://vision.uvic.ca/image-matching-challenge

imagenet

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

img_classification_pk_pytorch

Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)

imgclsmob

Sandbox for training convolutional networks for computer vision

imp_reg_dl_not_norms

Code for Implicit Regularization in Deep Learning May Not Be Explainable by Norms

imta

incremental_learning.pytorch

A collection of incremental learning paper implementations.

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

infopro-pytorch

Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better performance.

inplace_abn

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

inresnet

Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749

instance-based-smoothing

Instance-based label smoothing - Masters thesis, Institute of Computer Science, University of Tartu, May 2020

int-fp-qsim

Flexible simulator for mixed precision and format simulation of LLMs and vision transformers.

invertible-image-rescaling

Implementation of paper: Invertible Image Rescaling

invertible-resnet

Official Code for Invertible Residual Networks

ir-net

This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

iresnet

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)