An efficient implementation for ImageNet classification
☆17Sep 30, 2020Updated 5 years ago
Alternatives and similar repositories for Efficient_ImageNet_Classification
Users that are interested in Efficient_ImageNet_Classification are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- "Good scientific writing is not a matter of life and death; it is much more serious than that."☆14Apr 29, 2025Updated last year
- [NeurIPS 2023] Latent Graph Inference with Limited Supervision☆33Feb 1, 2024Updated 2 years ago
- Experiments from "The Generalization-Stability Tradeoff in Neural Network Pruning": https://arxiv.org/abs/1906.03728.☆14Oct 23, 2020Updated 5 years ago
- [CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu…☆56Dec 30, 2021Updated 4 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Oct 21, 2022Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆20Nov 27, 2022Updated 3 years ago
- ☆13Nov 2, 2025Updated 6 months ago
- Role-Wise Data Augmentation for Knowledge Distillation☆19Nov 22, 2022Updated 3 years ago
- [ACL 2025] "CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought"☆17Apr 3, 2025Updated last year
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"☆13Feb 22, 2025Updated last year
- Codes of "SPANet: Spatial Pyramid Attention Network for Enhanced Image Recognition"☆26Mar 31, 2020Updated 6 years ago
- GPU implementation of Xnor network on inference level.☆22Aug 10, 2020Updated 5 years ago
- ☆10Aug 6, 2022Updated 3 years ago
- An official implementation of "RankMixup: Ranking-Based Mixup Training for Network Calibration" (ICCV 2023) in PyTorch.☆11Dec 18, 2023Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- A generic code base for neural network pruning, especially for pruning at initialization.☆32Sep 3, 2022Updated 3 years ago
- [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…☆41Sep 9, 2025Updated 8 months ago
- ☆12Mar 27, 2024Updated 2 years ago
- ☆10Apr 22, 2021Updated 5 years ago
- ☆13Dec 10, 2020Updated 5 years ago
- Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.☆26Jul 21, 2023Updated 2 years ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆34May 21, 2023Updated 2 years ago
- A collection of subroutines and functions for removing noise and processing ECG and PPG signals☆14Dec 16, 2019Updated 6 years ago
- ☆27May 29, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [ICLR'24] Official code for "C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion"☆23Jun 9, 2024Updated last year
- ☆17Oct 22, 2022Updated 3 years ago
- Tensorflow Implementation on Paper [AAAI2020]Semi-Supervised Learning under Class Distribution Mismatch☆15Apr 20, 2021Updated 5 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Dec 11, 2021Updated 4 years ago
- ☆35Mar 4, 2020Updated 6 years ago
- [NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation☆43Mar 24, 2023Updated 3 years ago
- ☆19Jun 5, 2018Updated 7 years ago
- ☆45Jan 17, 2020Updated 6 years ago
- Code for our method CALS (Class Adaptive Label Smoothing) for network calibration. To Appear at CVPR 2023. Paper: https://arxiv.org/abs/2…☆24Jun 4, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- rkllm_talking is a standalone compiled voice communication system based on a large model || rkllm_talking 是一个独立编译的基于大模…☆13Oct 13, 2024Updated last year
- ☆25May 14, 2019Updated 7 years ago
- ☆12Nov 22, 2022Updated 3 years ago
- BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet☆17Dec 5, 2018Updated 7 years ago
- classifier two-sample test for video anomaly detections☆11Jul 3, 2019Updated 6 years ago
- Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection, AAAI 2021.☆26Nov 10, 2021Updated 4 years ago
- Code for MERL's ECCV 2022 paper on Cross-Modal Knowledge Transfer Without Task-Relevant Source Data☆10Jul 19, 2022Updated 3 years ago