upul / AuroraLinks
Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.
☆102Updated 7 years ago
Alternatives and similar repositories for Aurora
Users that are interested in Aurora are comparing it to the libraries listed below
Sorting:
- Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.☆109Updated 5 years ago
- The collection of jupyter notebooks that were created to compose 3dbabove posts☆44Updated 7 years ago
- A Keras inspired training utility for PyTorch☆38Updated 6 years ago
- Papers and blogs related to distributed deep learning☆96Updated 7 years ago
- ☆97Updated 5 years ago
- Direct C++ Interface to PyTorch☆81Updated 7 years ago
- Demos interesting image-in, image-out networks running on both NVIDIA and AMD GPUs, with NNVM☆49Updated 7 years ago
- A new kind of pooling layer for faster and sharper convergence☆76Updated 7 years ago
- ☆113Updated 2 years ago
- AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpos…☆77Updated 5 years ago
- Example codes appears in lectures☆23Updated 3 years ago
- (Spring 2017) Assignment 2: GPU Executor☆62Updated 8 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- PyTorch based Deep Learning Toolbox☆204Updated 7 years ago
- Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta II☆126Updated 7 years ago
- Wide Residual Networks implemented in TensorLayer and TensorFlow.☆44Updated 8 years ago
- Deep neural network framework (C/C++/CUDA).☆32Updated 9 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆147Updated 5 years ago
- Python, so easy, wow!☆139Updated 4 years ago
- Distributed Learning by Pair-Wise Averaging☆52Updated 7 years ago
- Implementing Google's DistBelief paper☆112Updated 2 years ago
- Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy…☆61Updated 5 years ago
- MXNet Model Serving☆25Updated 7 years ago
- ☆42Updated 4 years ago
- Pytorch implementation of MaxPoolingLoss.☆176Updated 7 years ago
- Videos of deep learning optimizers moving on 3D problem-landscapes☆107Updated last year
- 🔥 Cogitare - A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python☆77Updated last year
- Accelerate Neural Net Training by Progressively Freezing Layers☆211Updated 6 years ago
- ☆15Updated 7 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