vfx01j / Tensorflow-MKL-MacLinks
A definitive guide to build Tensorflow with Intel MKL support on Mac
☆16Updated 7 years ago
Alternatives and similar repositories for Tensorflow-MKL-Mac
Users that are interested in Tensorflow-MKL-Mac are comparing it to the libraries listed below
Sorting:
- ArrayFire's Machine Learning Library.☆105Updated 7 years ago
- A fast deep neural network library (CPU) for speech recognition☆86Updated 6 years ago
- Run Keras models from a C++ application on embedded devices☆65Updated 5 years ago
- ☆83Updated last year
- ☆13Updated 9 years ago
- The Operator Vectorization Library, or OVL, is a python productivity library for defining high performance custom operators for the Tenso…☆68Updated 9 years ago
- Python wrappers for the NVIDIA cuDNN libraries☆142Updated 8 years ago
- Examples of building probabilistic models with MXNet linear algebra operators☆23Updated 8 years ago
- Repository to benchmark the performance of Cloud CPUs vs. Cloud GPUs on TensorFlow and Google Compute Engine.☆66Updated 8 years ago
- Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.☆102Updated 7 years ago
- Guide to installing Tensorflow with NVIDIA GPU. Use of GPU for compute only. Tested with GTX 1080 TI. Fixes login loop problem.☆30Updated 8 years ago
- Serving PyTorch Models on AWS Lambda with Caffe2 & ONNX☆48Updated 8 years ago
- Small library for running Keras models from a C++ application☆181Updated 7 years ago
- Time Series Prediction: A Non Linear Approach with Neural Networks☆33Updated 9 years ago
- This project is a simple deep neural network trained using only TensorFlow C++.☆117Updated 2 years ago
- A Raspberry Pi GPU-accelerated implementation of the GEMM matrix-multiply function☆88Updated 11 years ago
- TensorFlow as a Service, a general purpose framework to serve TF models.☆54Updated last year
- Symbolic differentiation engine for optimization-based machine learning models.☆43Updated 8 years ago
- Playing with various deep learning tools and network architectures☆70Updated 8 years ago
- Scalable and Sustainable Deep Learning via Randomized Hashing☆94Updated 3 years ago
- p2p peer-to-peer training of tensorflow models☆62Updated 8 years ago
- neon tutorials☆93Updated 3 years ago
- Implements a message passing interface (MPI) wrapper that makes it easy to do massively parallel computations inside the Torch deep-learn…☆110Updated 6 years ago
- Simple C++ interface for xgboost with cross platform and size reduced serialization☆34Updated 8 years ago
- ECS Scheduler for Running Massive Parallel Computations☆71Updated 10 years ago
- TensorFlow operation for reading data from sockets (lightweight c++)☆35Updated 7 years ago
- Chainer implementation of Self-Normalizing Networks (SNN)☆25Updated 8 years ago
- A super simple way to do distributed hyperparameter tuning with Keras and Mongo☆30Updated 8 years ago
- Lightweight C++11 library for building deep recurrent neural networks☆43Updated 8 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 3 years ago