Pinned Repositories
Awesome-Pruning
A curated list of neural network pruning resources.
cuda-sudoku-solver
cv2016
Homeworks for Computer Vision Class given by Rob Fergus in 2016 Fall
evcu.github.io
exp.bootstrp
This repo is a bootstrap for experiments and includes helper functions scripts for pytorch training and slurm job scheduler.
FML-FA16-Project
kmeans-openmpi
Open-mpi implementation of K-means.
numpy_autograd
a simple implementation of autograd engine
pytorchpruner
Short-Distance-Stepping
Short distance human stepping includes a lot of variants. Stance type, stepping length, location, turning side, step type are some of these variants which make short distance human stepping hard to model. Prototyping and understanding short distance human stepping is quite important for virtual prototyping human locomotion. The solution to tackle this problem should be accurate and fast. In the experiment made by Mr. Pisupati, marker data is converted into 2-D body and feet trajectories.
evcu's Repositories
evcu/numpy_autograd
a simple implementation of autograd engine
evcu/pytorchpruner
evcu/cuda-sudoku-solver
evcu/cv2016
Homeworks for Computer Vision Class given by Rob Fergus in 2016 Fall
evcu/kmeans-openmpi
Open-mpi implementation of K-means.
evcu/Awesome-Pruning
A curated list of neural network pruning resources.
evcu/exp.bootstrp
This repo is a bootstrap for experiments and includes helper functions scripts for pytorch training and slurm job scheduler.
evcu/evcu.github.io
evcu/Short-Distance-Stepping
Short distance human stepping includes a lot of variants. Stance type, stepping length, location, turning side, step type are some of these variants which make short distance human stepping hard to model. Prototyping and understanding short distance human stepping is quite important for virtual prototyping human locomotion. The solution to tackle this problem should be accurate and fast. In the experiment made by Mr. Pisupati, marker data is converted into 2-D body and feet trajectories.
evcu/Crypto2017fall
evcu/FML-FA16-Project
evcu/bigdata2017
evcu/circuitpython_projects
Some qController programming
evcu/ds1004
evcu/feds
FEDS for Facial Expression Detection System
evcu/hpc2017
evcu/lists
Some lists for good
evcu/meta-dataset
evcu/MetaOptNet
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
evcu/micrograd
A tiny autograd engine and a neural net library on top of it, potentially for educational purposes
evcu/Nalwe
Results of various trained w2v models.
evcu/nn
evcu/playground
Play with neural networks!
evcu/propertycrawler
Property Advert Crawler
evcu/pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
evcu/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
evcu/rigl
End-to-end training of sparse deep neural networks with little-to-no performance loss.
evcu/Sparse-Building-Blocks-DNNs
Comparison of sparse vs. dense matrix encodings for pruned fully connected and convolutional neural network layers on a GPU