ljk628 / ML-Systems
papers on scalable and efficient machine learning systems
☆193Updated 6 years ago
Alternatives and similar repositories for ML-Systems:
Users that are interested in ML-Systems are comparing it to the libraries listed below
- Papers and blogs related to distributed deep learning☆96Updated 7 years ago
- Deep learning system course☆218Updated 6 years ago
- implement distributed machine learning with Pytorch + OpenMPI☆51Updated 6 years ago
- Benchmarking State-of-the-Art Deep Learning Software Tools☆170Updated 7 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆144Updated 5 years ago
- (Spring 2017) Assignment 2: GPU Executor☆62Updated 7 years ago
- Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets☆308Updated 7 years ago
- (Spring 2018) Assignment 2: Graph Executor with TVM☆124Updated 6 years ago
- GPU-specialized parameter server for GPU machine learning.☆100Updated 6 years ago
- auto-tuning momentum SGD optimizer☆286Updated 5 years ago
- Off the convex path☆67Updated 2 years ago
- DAWNBench: An End-to-End Deep Learning Benchmark and Competition☆260Updated 4 years ago
- Implementing Google's DistBelief paper☆109Updated 2 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- Spatially Adaptive Computation Time for Residual Networks☆248Updated last year
- videos, slides, and others from NIPS 2017☆180Updated 6 years ago
- Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.☆174Updated 6 years ago
- Cyclades☆28Updated 6 years ago
- Stuff I uploaded to share online or to access from a different machine☆174Updated 2 years ago
- Files to create the figures in the paper "Super-Convergence: Very Fast Training of Residual Networks Using Large Learning Rates"☆191Updated 7 years ago
- Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)☆182Updated 6 years ago
- Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.☆102Updated 7 years ago
- Just-in-time Dynamic Batching with MXNet Gluon.☆52Updated 4 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 4 years ago
- A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017☆145Updated 8 years ago
- PMLS-Caffe: Distributed Deep Learning Framework for Parallel ML System☆194Updated 6 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆149Updated 7 years ago
- Tutorial code on how to build your own Deep Learning System in 2k Lines☆125Updated 7 years ago
- Scalable and Sustainable Deep Learning via Randomized Hashing☆93Updated 2 years ago
- Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)☆43Updated 8 years ago