HazyResearch / flyLinks
☆209Updated 2 years ago
Alternatives and similar repositories for fly
Users that are interested in fly are comparing it to the libraries listed below
Sorting:
- ☆147Updated 2 years ago
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆190Updated 2 years ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆121Updated 2 years ago
- [NeurIPS'23] Speculative Decoding with Big Little Decoder☆92Updated last year
- Block-sparse primitives for PyTorch☆157Updated 4 years ago
- Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer☆109Updated 2 years ago
- A research library for pytorch-based neural network pruning, compression, and more.☆162Updated 2 years ago
- [KDD'22] Learned Token Pruning for Transformers☆98Updated 2 years ago
- Butterfly matrix multiplication in PyTorch☆172Updated last year
- ☆58Updated last year
- ☆10Updated 3 years ago
- ☆106Updated 10 months ago
- Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)☆52Updated 4 years ago
- ☆153Updated 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
- Block Sparse movement pruning☆81Updated 4 years ago
- ☆36Updated 7 months ago
- Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.☆57Updated 3 years ago
- Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"☆118Updated last year
- ☆42Updated last year
- [ICLR 2023] "Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!" Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen…☆28Updated last year
- This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.☆88Updated 2 years ago
- ☆42Updated 2 years ago
- ☆81Updated last year
- Triton-based implementation of Sparse Mixture of Experts.☆224Updated 7 months ago
- The implementation for MLSys 2023 paper: "Cuttlefish: Low-rank Model Training without All The Tuning"☆45Updated 2 years ago
- [ICLR 2023] Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation☆12Updated last year
- ☆157Updated last year
- A library for unit scaling in PyTorch☆125Updated 7 months ago
- This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).☆46Updated 2 years ago