facebookresearch / MODel_optLinks
Memory Optimizations for Deep Learning (ICML 2023)
☆64Updated last year
Alternatives and similar repositories for MODel_opt
Users that are interested in MODel_opt are comparing it to the libraries listed below
Sorting:
- ☆106Updated 10 months ago
- extensible collectives library in triton☆87Updated 3 months ago
- Collection of kernels written in Triton language☆136Updated 3 months ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆184Updated this week
- This repository contains the experimental PyTorch native float8 training UX☆224Updated 11 months ago
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆187Updated this week
- A block oriented training approach for inference time optimization.☆33Updated 10 months ago
- ☆157Updated last year
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆112Updated last year
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆158Updated 3 weeks ago
- ☆28Updated 6 months ago
- ☆73Updated 3 months ago
- Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.☆46Updated last year
- A bunch of kernels that might make stuff slower 😉☆54Updated last week
- JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training☆51Updated last week
- ☆50Updated last year
- A Python library transfers PyTorch tensors between CPU and NVMe☆116Updated 7 months ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆201Updated last year
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆205Updated last week
- Experiment of using Tangent to autodiff triton☆79Updated last year
- ☆83Updated 8 months ago
- Training neural networks in TensorFlow 2.0 with 5x less memory☆132Updated 3 years ago
- Framework to reduce autotune overhead to zero for well known deployments.☆79Updated last week
- Prototype routines for GPU quantization written using PyTorch.☆21Updated 5 months ago
- Fast low-bit matmul kernels in Triton☆330Updated last week
- Torch Distributed Experimental☆116Updated 11 months ago
- ☆51Updated last year
- ☆36Updated 7 months ago
- ☆225Updated this week
- A Quirky Assortment of CuTe Kernels☆281Updated this week