Topic: efficient-deep-learning Goto Github
Some thing interesting about efficient-deep-learning
Some thing interesting about efficient-deep-learning
efficient-deep-learning,Code for "Language Model Knowledge Distillation for Efficient Question Answering in Spanish" (ICLR 2024 Tiny Papers)
User: adrianbzg
Home Page: https://arxiv.org/abs/2312.04193
efficient-deep-learning,[NeurIPS 2019 Google MicroNet Challenge] MSUNet is an efficient model that won the 4th place in the Google MicroNet Challenge CIFAR-100 Track hosted at NeurIPS 2019 designed by Yu Zheng, Shen Yan, Mi Zhang
Organization: aiot-mlsys-lab
efficient-deep-learning,Frame Flexible Network (CVPR2023)
User: bespontaneous
efficient-deep-learning,Code and resources on scalable and efficient Graph Neural Networks
User: chaitjo
Home Page: https://www.chaitjo.com/post/efficient-gnns/
efficient-deep-learning,Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)
User: cownowan
efficient-deep-learning,This repository is for reproducing the results shown in the NNCodec ICML Workshop paper. Additionally, it includes a demo, prepared for the Neural Compression Workshop (NCW).
User: d-becking
efficient-deep-learning,Efficient Deep Learning for Stereo Matching Tensorflow 2.x
User: datvuthanh
Home Page: https://datvuthanh.github.io/
efficient-deep-learning,Code repository of the paper "Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups" https://proceedings.mlr.press/v162/knigge22a.html
User: david-knigge
efficient-deep-learning,Official PyTorch training code of Accelerating Deep Neural Networks via Semi-Structured Activation Sparsity (ICCV2023-RCV)
Organization: deeplite
Home Page: https://www.deeplite.ai/
efficient-deep-learning,Denoising Diffusion Step-aware Models (ICLR2024)
Organization: envision-research
Home Page: https://arxiv.org/abs/2310.03337
efficient-deep-learning,The best collection of AI tutorials to make you a boss of Data Science!
User: francoisporcher
efficient-deep-learning,[ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation
User: gmh14
Home Page: https://openreview.net/forum?id=l4IHywGq6a
efficient-deep-learning,[ICML 2023] Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
User: gmh14
Home Page: https://proceedings.mlr.press/v202/guo23h.html
efficient-deep-learning,Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight)
User: hayeonlee
efficient-deep-learning,Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)
User: hayeonlee
efficient-deep-learning,A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including language and vision, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
User: htqin
efficient-deep-learning,A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
User: htqin
efficient-deep-learning,[NeurIPS2022] Official implementation of the paper 'Green Hierarchical Vision Transformer for Masked Image Modeling'.
User: layneh
efficient-deep-learning,[CVPR 2024] Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis
User: lmd0311
Home Page: https://arxiv.org/abs/2403.01439
efficient-deep-learning,Recent Advances on Efficient Vision Transformers
User: mingsun-tse
efficient-deep-learning,[IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.
User: mingsun-tse
efficient-deep-learning,Collection of recent methods on (deep) neural network compression and acceleration.
User: mingsun-tse
efficient-deep-learning,A generic code base for neural network pruning, especially for pruning at initialization.
User: mingsun-tse
efficient-deep-learning,[ICLR'23] Trainability Preserving Neural Pruning (PyTorch)
User: mingsun-tse
efficient-deep-learning,[Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning
User: mingsun-tse
efficient-deep-learning,NeurIPS 2023
User: mmontielpz
efficient-deep-learning,Efficient Deep Learning Systems course materials (HSE, YSDA)
User: mryab
efficient-deep-learning,This repository provides implementation of a baseline method and our proposed methods for efficient Skeleton-based Human Action Recognition.
User: negarhdr
efficient-deep-learning,[ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu
Organization: optml-group
efficient-deep-learning,[ICML 2024] CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers.
User: sdc17
Home Page: https://arxiv.org/pdf/2305.17455.pdf
efficient-deep-learning,[ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.
User: sdc17
Home Page: https://dachuanshi.com/UPop-Project/
efficient-deep-learning,Official implementation of "EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS"
User: sharath-girish
Home Page: https://efficientgaussian.github.io/
efficient-deep-learning,Efficient Deep Learning for Real-time Classification of Astronomical Transients and Multivariate Time-series
User: tallamjr
efficient-deep-learning,Pytorch implementation for stereo matching described in the paper: Efficient Deep learning for stereo matching
User: tonyjo
efficient-deep-learning,[NeurIPS 2023] Structural Pruning for Diffusion Models
User: vainf
efficient-deep-learning,[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
User: vainf
Home Page: https://arxiv.org/abs/2301.12900
efficient-deep-learning,[ICLR 2022] "Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently", by Xiaohan Chen, Jason Zhang and Zhangyang Wang.
Organization: vita-group
Home Page: https://openreview.net/forum?id=moHCzz6D5H3
efficient-deep-learning,Official Website for the Workshop on Advancing Neural Networks Training: Computational Efficiency, Scalability, and Resource Optimization (WANT@ICML 2024, WANT@NeurIPS 2023)
User: want-ai-hpc
Home Page: https://want-ai-hpc.github.io/
efficient-deep-learning,NeurIPS 2021, Official codes for "Efficient Training of Visual Transformers with Small Datasets".
User: yhlleo
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