☆43Jan 30, 2024Updated 2 years ago
Alternatives and similar repositories for HAP
Users that are interested in HAP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICASSP'22] Integer-only Zero-shot Quantization for Efficient Speech Recognition☆34Oct 11, 2021Updated 4 years ago
- Open Source Projects from Pallas Lab☆21Oct 10, 2021Updated 4 years ago
- code for the paper "A Statistical Framework for Low-bitwidth Training of Deep Neural Networks"☆29Oct 31, 2020Updated 5 years ago
- [FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Desi…☆28Feb 7, 2023Updated 3 years ago
- Analyze AdaHessian optimizer on 2D functions.☆13Aug 13, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆462May 15, 2023Updated 3 years ago
- [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…☆54Dec 1, 2023Updated 2 years ago
- BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.☆58Feb 7, 2023Updated 3 years ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆139Apr 28, 2022Updated 4 years ago
- ☆13Nov 29, 2021Updated 4 years ago
- MLPruning, PyTorch, NLP, BERT, Structured Pruning☆20Jun 29, 2021Updated 5 years ago
- ☆19Mar 17, 2021Updated 5 years ago
- A 8-/16-/32-/64-bit floating point number family☆16Feb 4, 2022Updated 4 years ago
- PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks☆789Jul 10, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Jan 20, 2019Updated 7 years ago
- ☆21Feb 5, 2024Updated 2 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Dec 8, 2023Updated 2 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆62May 2, 2020Updated 6 years ago
- [KDD'22] Learned Token Pruning for Transformers☆98Feb 27, 2023Updated 3 years ago
- [ICML'21 Oral] I-BERT: Integer-only BERT Quantization☆269Jan 29, 2023Updated 3 years ago
- Easy-to-use AdaHessian optimizer (PyTorch)☆79Nov 12, 2020Updated 5 years ago
- BitSplit Post-trining Quantization☆49Dec 20, 2021Updated 4 years ago
- All about acceleration and compression of Deep Neural Networks☆33Nov 5, 2019Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training☆199Dec 22, 2022Updated 3 years ago
- PyTorch-Implementation of "Data-Driven Sparse Structure Selection for Deep Neural Networks"☆21Apr 17, 2020Updated 6 years ago
- ☆15Oct 26, 2022Updated 3 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆73Oct 7, 2021Updated 4 years ago
- pyhessian is a TensorFlow module which can be used to estimate Hessian matrices☆25Mar 26, 2021Updated 5 years ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆34May 21, 2023Updated 3 years ago
- ☆19Jan 27, 2021Updated 5 years ago
- Code to implement the experiments in "Post-training Quantization for Neural Networks with Provable Guarantees" by Jinjie Zhang, Yixuan Zh…☆11Jun 2, 2023Updated 3 years ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆132Jul 11, 2023Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- A research library for pytorch-based neural network pruning, compression, and more.☆163Nov 28, 2022Updated 3 years ago
- Code for AdaXpert (ICML'21)☆16Jul 19, 2021Updated 5 years ago
- ☆12Sep 26, 2019Updated 6 years ago
- Code for ICML 2021 submission☆35Mar 24, 2021Updated 5 years ago
- ☆22Oct 27, 2024Updated last year
- An official implement of CVPR 2023 paper - NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers☆27Mar 13, 2024Updated 2 years ago
- ☆22Feb 11, 2022Updated 4 years ago