dlsys-course / assignment2-2017Links
(Spring 2017) Assignment 2: GPU Executor
☆63Updated 8 years ago
Alternatives and similar repositories for assignment2-2017
Users that are interested in assignment2-2017 are comparing it to the libraries listed below
Sorting:
- Papers and blogs related to distributed deep learning☆96Updated 7 years ago
- Just-in-time Dynamic Batching with MXNet Gluon.☆52Updated 5 years ago
- Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets☆28Updated 9 years ago
- FRED simulator and associated paper☆26Updated 9 years ago
- ☆35Updated 8 years ago
- Example codes appears in lectures☆23Updated 3 years ago
- Deep learning system course☆214Updated 6 years ago
- MultiGPU enabled image generative models (GAN and DCGAN)☆206Updated 4 years ago
- Coding example of DLIF tutorial☆66Updated 8 years ago
- Deep reinforcement learning with TensorFlow☆48Updated 8 years ago
- Implementing (parts of) TensorFlow (almost) from Scratch☆30Updated 8 years ago
- ☆15Updated 7 years ago
- Flattened convolutional neural networks (1D convolution modules for Torch nn)☆61Updated 9 years ago
- MXNet Model Serving☆25Updated 7 years ago
- MXNet Tutorial for NVidia GTC 2016.☆131Updated 9 years ago
- Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning☆33Updated 8 years ago
- (Spring 2018) Assignment 2: Graph Executor with TVM☆123Updated 7 years ago
- Simple MXNet sequence-to-sequence model (neural machine translation)☆24Updated 7 years ago
- papers on scalable and efficient machine learning systems☆192Updated 6 years ago
- Code Samples from Neural Networks for NLP☆72Updated 7 years ago
- MXNet implementation of Deep Q-learning☆34Updated 7 years ago
- AI Final Project☆65Updated 9 years ago
- PMLS-Caffe: Distributed Deep Learning Framework for Parallel ML System☆194Updated 7 years ago
- The tensorflow implementation of NIPS2016 paper "LightRNN: Memory and Computation-Efficient Recurrent Neural Networks" (https://arxiv.org…☆56Updated 8 years ago
- The Operator Vectorization Library, or OVL, is a python productivity library for defining high performance custom operators for the Tenso…☆68Updated 8 years ago
- Benchmarking State-of-the-Art Deep Learning Software Tools☆170Updated 7 years ago
- Sequence to sequence learning with MXNET☆50Updated 8 years ago
- parameter server for ML algs☆13Updated 11 years ago
- ☆42Updated 4 years ago
- Efficient layer normalization GPU kernel for Tensorflow☆110Updated 8 years ago