Pinned Repositories
group-ksparse-temporal-cnns
Group k-Sparse Temporal Convolutional Neural Networks: Pre-training for Video Classification
cmu-vision.github.io
diff_unrolled_admm_onenet
Differentiable Unrolled Alternating Direction Method of Multipliers for OneNet
elasticluster
Create clusters of VMs on the cloud and configure them with Ansible
group-sparse-change-point-detection
Python source code for reproducing the experiments described in the paper Towards reasoning based representations: Deep consistence seeking machine
group-sparse-outlier-detection
Python source code for reproducing the experiments described in the paper Robust Detection of Anomalies via Sparse Methods
keras
Deep Learning for humans
pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
tensorflow
Computation using data flow graphs for scalable machine learning
videoonenet
Source code 'VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing'
srph25's Repositories
srph25/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
srph25/cmu-vision.github.io
srph25/group-sparse-change-point-detection
Python source code for reproducing the experiments described in the paper Towards reasoning based representations: Deep consistence seeking machine
srph25/group-sparse-outlier-detection
Python source code for reproducing the experiments described in the paper Robust Detection of Anomalies via Sparse Methods
srph25/videoonenet
Source code 'VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing'
srph25/group-ksparse-temporal-cnns
Group k-Sparse Temporal Convolutional Neural Networks: Pre-training for Video Classification
srph25/diff_unrolled_admm_onenet
Differentiable Unrolled Alternating Direction Method of Multipliers for OneNet
srph25/tensorflow
Computation using data flow graphs for scalable machine learning
srph25/keras
Deep Learning for humans
srph25/elasticluster
Create clusters of VMs on the cloud and configure them with Ansible