WeixiangXu / STTNView external linksLinks
☆17Oct 25, 2022Updated 3 years ago
Alternatives and similar repositories for STTN
Users that are interested in STTN are comparing it to the libraries listed below
Sorting:
- Optimizing Deep Convolutional Neural Network with Ternarized Weights and High Accuracy☆16Jan 27, 2019Updated 7 years ago
- Generate an FPGA design for a TWN☆10Nov 4, 2019Updated 6 years ago
- An implementation of a BinaryConnect network for cifar10☆11Nov 4, 2019Updated 6 years ago
- HW-PR-NAS is a single surrogate model trained to Pareto rank the architectures based on Accuracy, Latency and energy consumption☆15Oct 15, 2022Updated 3 years ago
- Official Implementation of Frequency-enhanced Data Augmentation for Vision-and-Language Navigation (NeurIPS2023)☆14Jan 8, 2024Updated 2 years ago
- TBNv2: Convolutional Neural Network With Ternary Inputs and Binary Weights☆16Mar 4, 2020Updated 5 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Nov 16, 2020Updated 5 years ago
- Papers and codes about Quantized Networks for easier survey and reference.☆19Dec 3, 2021Updated 4 years ago
- PELA: Learning Parameter-Efficient Models with Low-Rank Approximation [CVPR 2024]☆19Apr 14, 2024Updated last year
- ☆19Oct 27, 2021Updated 4 years ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆49Oct 5, 2022Updated 3 years ago
- ☆25Oct 31, 2024Updated last year
- [CVPR 2024] Official implementation for "A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network"☆24Dec 5, 2025Updated 2 months ago
- [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…☆181Mar 14, 2020Updated 5 years ago
- It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]☆29Sep 15, 2022Updated 3 years ago
- Reproduction of "How Does Batch Normalization Help Optimization?" paper☆21Mar 28, 2019Updated 6 years ago
- Proximal Mean-field for Neural Network Quantization☆21Apr 9, 2020Updated 5 years ago
- ☆23Oct 27, 2019Updated 6 years ago
- Minimal pretraining script for language modeling in PyTorch. Supporting torch compilation and DDP. It includes a model implementation and…☆41Dec 10, 2025Updated 2 months ago
- [ICML 2024] Sparse Model Inversion: Efficient Inversion of Vision Transformers with Less Hallucination☆13Apr 29, 2025Updated 9 months ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆73Oct 7, 2021Updated 4 years ago
- Convolutional Channel-wise Competitive Learning for the Forward-Forward Algorithm. AAAI 2024☆11Jun 27, 2024Updated last year
- ☆49Mar 14, 2025Updated 10 months ago
- FPGA and GPU acceleration of LeNet5☆35Jul 9, 2019Updated 6 years ago
- Artifact material for [HPCA 2025] #2108 "UniNDP: A Unified Compilation and Simulation Tool for Near DRAM Processing Architectures"☆53Sep 1, 2025Updated 5 months ago
- pytorch fixed point training tool/framework☆34Oct 14, 2020Updated 5 years ago
- ☆43Jan 30, 2024Updated 2 years ago
- DOMIAS, a density-based MIA model that aims to infer membership by targeting local overfitting of the generative model.☆11May 29, 2023Updated 2 years ago
- RTL implementation of TFlite FPGA accelerator and RISC-V controller. 3D Object Detection based on LiDAR Point Clouds.☆15Mar 12, 2023Updated 2 years ago
- configure different congestion control algorithms☆10Jun 14, 2021Updated 4 years ago
- [CVPR 2025 Highlight] FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation☆25Jun 16, 2025Updated 7 months ago
- Ternay-Weights-Network/Pytorch☆38May 2, 2018Updated 7 years ago
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆37Dec 5, 2021Updated 4 years ago
- Official PyTorch implementation of SynergyNeRF: "Synergistic Integration of Coordinate Network and Tensorial Feature for Improving NeRFs …☆10Sep 23, 2024Updated last year
- ☆10Nov 15, 2023Updated 2 years ago
- ☆10Apr 24, 2024Updated last year
- This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".☆44Nov 25, 2021Updated 4 years ago
- ☆38Oct 27, 2021Updated 4 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆92May 9, 2024Updated last year