PanZaifeng / G-SLIDELinks
☆15Updated 3 years ago
Alternatives and similar repositories for G-SLIDE
Users that are interested in G-SLIDE are comparing it to the libraries listed below
Sorting:
- A Learnable LSH Framework for Efficient NN Training☆33Updated 4 years ago
- ☆15Updated 3 years ago
- ☆112Updated last year
- ☆41Updated last year
- Simple Distributed Deep Learning on TensorFlow☆134Updated 4 months ago
- Summary of system papers/frameworks/codes/tools on training or serving large model☆57Updated last year
- Training neural networks in TensorFlow 2.0 with 5x less memory☆136Updated 3 years ago
- Research and development for optimizing transformers☆131Updated 4 years ago
- Set of datasets for the deep learning recommendation model (DLRM).☆47Updated 2 years ago
- Inference framework for MoE layers based on TensorRT with Python binding☆41Updated 4 years ago
- A Python library transfers PyTorch tensors between CPU and NVMe☆120Updated 11 months ago
- ☆27Updated 6 years ago
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆56Updated 4 years ago
- ☆41Updated 4 years ago
- ☆93Updated 3 years ago
- This is the (evolving) reading list for the seminar.☆60Updated 5 years ago
- This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as …☆194Updated 3 years ago
- Large Scale Search Index☆31Updated 2 years ago
- [ICLR 2025] TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention☆48Updated 3 months ago
- Distributed ML Optimizer☆34Updated 4 years ago
- [ICDCS 2023] DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining☆11Updated last year
- ICLR 2021☆48Updated 4 years ago
- Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …☆65Updated 3 years ago
- A memory efficient DLRM training solution using ColossalAI☆106Updated 2 years ago
- ☆103Updated 5 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆85Updated last year
- Differentiable Product Quantization for End-to-End Embedding Compression.☆63Updated 2 years ago
- Block-sparse primitives for PyTorch☆160Updated 4 years ago
- [KDD'22] Learned Token Pruning for Transformers☆101Updated 2 years ago
- Odysseus: Playground of LLM Sequence Parallelism☆78Updated last year