robotology / himrep
Hierarchical Image Representation
☆10Updated 9 months ago
Related projects: ⓘ
- PyTorch bindings for openai-gemm☆20Updated 7 years ago
- ☆15Updated 7 years ago
- Torch7 bindings for cuda-convnet2 kernels!☆40Updated 8 years ago
- Implementation of Residual Learning with Stochastic Depth http://arxiv.org/pdf/1603.09382v2.pdf☆10Updated 8 years ago
- Examples of building probabilistic models with MXNet linear algebra operators☆23Updated 6 years ago
- Code for the blog post on few-shot classification via task representation and communication.☆18Updated 7 years ago
- The Computer Vision Algorithm Collection☆21Updated 8 years ago
- miniplaces2 deep residual network in neon☆16Updated 8 years ago
- ☆11Updated this week
- ☆32Updated 8 years ago
- Averaged Stochastic Gradient Descent Classifiers☆41Updated 12 years ago
- Soft Decision Trees (code for ICPR 21 paper)☆29Updated 10 years ago
- Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets☆28Updated 8 years ago
- ☆14Updated this week
- Torch implementation reproducing MNIST experiments from DeepMind's DNI paper.☆44Updated 7 years ago
- From Pixels to Torques: Policy Learning using Deep Dynamical Convolutional Neural Networks (DDCNN)☆43Updated 7 years ago
- FastHOG library that has been fixed to work with CUDA 5.x on Ubuntu 12.04☆19Updated 10 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 6 years ago
- ☆12Updated 6 years ago
- NNVM for ROCm Examples☆19Updated 6 years ago
- Exercises for the semi-supervised summer school https://semisupervised-learning.compute.dtu.dk.☆9Updated 8 years ago
- DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows☆26Updated 7 years ago
- Large scale detection through adaptation☆48Updated 4 years ago
- Utilities for nolearn.lasagne☆21Updated 7 years ago
- Fast binary matrix product on CPU☆10Updated 8 years ago
- MCMC for the Dark Energy Spectroscopic Instrument☆13Updated 8 years ago
- A repo containing links of various tutorials, courses, and papers I've read at some point of time.☆7Updated 7 years ago
- ☆19Updated 7 years ago
- Deep exponential family models in MXNet/Gluon. Layers o' latents 💤☆17Updated 6 years ago
- Python Framework for sparse neural networks☆19Updated 7 years ago