This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.
☆89Jun 2, 2023Updated 3 years ago
Alternatives and similar repositories for BiBERT
Users that are interested in BiBERT are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer☆114Jun 26, 2023Updated 2 years 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 6 years ago
- This project is the official implementation of our accepted ICLR 2021 paper BiPointNet: Binary Neural Network for Point Clouds.☆77Mar 1, 2021Updated 5 years ago
- The official implementation of BiViT: Extremely Compressed Binary Vision Transformers☆16Jun 18, 2023Updated 2 years ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Mar 4, 2024Updated 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.
- BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models☆39Feb 4, 2024Updated 2 years ago
- Pytorch implementation of BiFSMN, IJCAI 2022☆22Feb 10, 2023Updated 3 years ago
- Implementation of "Binary Graph Convolutional Network", CVPR 2021, and TPAMI 2024.☆26Apr 8, 2024Updated 2 years ago
- The code for the Network Binarization via Contrastive Learning, which has been accepted to ECCV 2022.☆14Jul 13, 2022Updated 3 years ago
- ACL 2023☆39Jun 6, 2023Updated 3 years ago
- ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.☆265Nov 11, 2021Updated 4 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54May 8, 2020Updated 6 years ago
- A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are co…☆2,389May 11, 2026Updated last month
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Jun 10, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆73Oct 7, 2021Updated 4 years ago
- ☆12Aug 26, 2022Updated 3 years ago
- ☆12Nov 17, 2023Updated 2 years ago
- A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including languag…☆206Feb 10, 2025Updated last year
- Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing …☆51Feb 24, 2022Updated 4 years ago
- An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.☆96Jul 14, 2023Updated 2 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆16Jan 16, 2020Updated 6 years ago
- BitSplit Post-trining Quantization☆49Dec 20, 2021Updated 4 years ago
- ☆41Dec 15, 2022Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆139Nov 19, 2020Updated 5 years ago
- PB-LLM: Partially Binarized Large Language Models☆156Nov 20, 2023Updated 2 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆300Aug 1, 2021Updated 4 years ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆65Apr 15, 2024Updated 2 years ago
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Jan 20, 2019Updated 7 years ago
- This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Qu…☆15Feb 26, 2023Updated 3 years ago
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆234Jan 11, 2025Updated last year
- Post-Training Quantization for Vision transformers.☆242Jul 19, 2022Updated 3 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆45Aug 19, 2021Updated 4 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.
- ProxQuant: Quantized Neural Networks via Proximal Operators☆30Feb 19, 2019Updated 7 years ago
- [NeurIPS 2023 Spotlight] This project is the official implementation of our accepted NeurIPS 2023 (spotlight) paper QuantSR: Accurate Low…☆53May 13, 2024Updated 2 years ago
- BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.☆58Feb 7, 2023Updated 3 years ago
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…☆185Mar 28, 2021Updated 5 years ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆425Aug 13, 2024Updated last year
- Binarize convolutional neural networks using pytorch☆150Apr 26, 2022Updated 4 years ago
- Binarized Neural Network (BNN) for pytorch☆534Nov 6, 2023Updated 2 years ago