HazyResearch / flyLinks
☆220Updated 2 years ago
Alternatives and similar repositories for fly
Users that are interested in fly are comparing it to the libraries listed below
Sorting:
- ☆150Updated 2 years ago
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆192Updated 2 years ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆129Updated 2 years ago
- [NeurIPS'23] Speculative Decoding with Big Little Decoder☆95Updated last year
- Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer☆113Updated 2 years ago
- ☆61Updated 2 years ago
- Block-sparse primitives for PyTorch☆160Updated 4 years ago
- ☆157Updated 2 years ago
- Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"☆120Updated last year
- ☆113Updated last year
- A research library for pytorch-based neural network pruning, compression, and more.☆163Updated 2 years ago
- Accuracy 77%. Large batch deep learning optimizer LARS for ImageNet with PyTorch and ResNet, using Horovod for distribution. Optional acc…☆38Updated 4 years ago
- This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.☆88Updated 2 years ago
- ☆158Updated 2 years ago
- ☆83Updated last year
- ☆10Updated 3 years ago
- [ICLR 2023] "Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!" Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen…☆28Updated 2 years ago
- Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)☆53Updated 4 years ago
- Butterfly matrix multiplication in PyTorch☆176Updated 2 years ago
- [KDD'22] Learned Token Pruning for Transformers☆101Updated 2 years ago
- ☆41Updated 4 years ago
- Efficient LLM Inference Acceleration using Prompting☆51Updated last year
- Triton-based implementation of Sparse Mixture of Experts.☆248Updated last month
- Pytorch library for factorized L0-based pruning.☆45Updated 2 years ago
- ☆43Updated 3 years ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆81Updated 2 years ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆74Updated 4 months ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆90Updated 2 years ago
- This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).☆46Updated 3 years ago
- ☆243Updated 3 years ago