dmlc / web-dataLinks
The repo to host all the web data including images for documents in dmlc projects.
☆84Updated 2 years ago
Alternatives and similar repositories for web-data
Users that are interested in web-data are comparing it to the libraries listed below
Sorting:
- Demos interesting image-in, image-out networks running on both NVIDIA and AMD GPUs, with NNVM☆49Updated 7 years ago
- ONNX model format support for Apache MXNet☆96Updated 6 years ago
- tutorial to optimize GEMM performance on android☆51Updated 9 years ago
- MXNet Model Serving☆25Updated 7 years ago
- Benchmarking State-of-the-Art Deep Learning Software Tools☆169Updated 7 years ago
- mobilenet-mxnet☆145Updated 7 years ago
- The code to learn mxnet☆60Updated 8 years ago
- An Example of MXNet Models Comilation and Deployment with NNVM in C++☆16Updated 7 years ago
- Scripts with example usage of tensorflow profiler☆83Updated 8 years ago
- ☆24Updated 7 years ago
- Example codes appears in lectures☆23Updated 3 years ago
- Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning☆33Updated 8 years ago
- (Spring 2017) Assignment 2: GPU Executor☆62Updated 8 years ago
- Just-in-time Dynamic Batching with MXNet Gluon.☆52Updated 5 years ago
- (Spring 2018) Assignment 2: Graph Executor with TVM☆123Updated 7 years ago
- Test winograd convolution written in TVM for CUDA and AMDGPU☆41Updated 6 years ago
- ☆209Updated 6 years ago
- Caffe with NNPACK integration☆58Updated 9 years ago
- Training deep neural networks with low precision multiplications☆63Updated 9 years ago
- Simple MXNet sequence-to-sequence model (neural machine translation)☆24Updated 7 years ago
- This repository contains the results and code for the MLPerf™ Inference v0.5 benchmark.☆55Updated 2 years ago
- Ristretto: Caffe-based approximation of convolutional neural networks.☆30Updated 6 years ago
- ☆19Updated last year
- Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets☆308Updated 7 years ago
- Benchmark of TVM quantized model on CUDA☆111Updated 5 years ago
- residual-SqueezeNet☆155Updated 6 years ago
- ☆402Updated 6 years ago
- Quantize weights and activations in Recurrent Neural Networks.☆94Updated 6 years ago
- Optimizing Mobile Deep Learning on ARM GPU with TVM☆181Updated 6 years ago
- Compress graph files for tensorflow.☆37Updated 8 years ago