Connor323 / Convolution-with-sparse-kernel-in-TF
Development a customized op in TensorFlow for convolution with sparse kernel
☆28Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Convolution-with-sparse-kernel-in-TF
- ☆68Updated 5 years ago
- PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)☆124Updated 6 years ago
- CuPy fused PyTorch neural networks ops☆274Updated 6 years ago
- Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.☆113Updated 6 years ago
- ☆87Updated 6 years ago
- Efficient forward propagation for BCNNs☆50Updated 7 years ago
- ☆63Updated 6 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆112Updated 4 years ago
- Filter Response Normalization tested on better ImageNet baselines.☆35Updated 4 years ago
- [ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895☆125Updated 6 years ago
- Numerical Computation of Receptive Field in Pytorch☆62Updated 5 years ago
- Code for https://arxiv.org/abs/1810.04622☆139Updated 5 years ago
- On Network Design Spaces for Visual Recognition☆94Updated 4 years ago
- Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906☆48Updated 4 years ago
- Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade☆108Updated 6 years ago
- This code implements NICE papper☆21Updated 6 years ago
- Sparse Blocks Networks☆436Updated 6 years ago
- Yet Another Pytorch Distributed MobileNetV2-based Networks Implementation☆65Updated 4 years ago
- an example of a CUDA extension for PyTorch using CuPy which computes the Hadamard product of two tensors☆117Updated 8 months ago
- ☆45Updated 5 years ago
- All convolution operators replaced with coordinate convolutions☆36Updated 6 years ago
- BinaryNets in TensorFlow with XNOR GEMM op☆155Updated 7 years ago
- ☆33Updated 7 years ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆153Updated 4 months ago
- Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"☆30Updated 5 years ago
- Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…☆56Updated 5 years ago
- Neural architecture search(NAS)☆14Updated 5 years ago
- Repository has been moved: https://github.com/adobe/antialiased-cnns☆165Updated 3 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆239Updated 2 years ago