Pinned Repositories
adversairal-attacks-pytorch
A pytorch implementations of Adversarial attacks and utils
crowd-counting-GAN
Learning to map crowd densities using Conditional GANs
crowd-counting-I
This jupyter notebook is a PyTorch implementation of CrowdNet by Boominathan et al.
cs231n_solutions
CycleGAN-straightforward
PyTorch implementation of CycleGAN.
Multigrid-PyTorch
PyTorch implementation of the paper: Learning Generative ConvNets via Multi-grid Modeling and Sampling by Gao et al.
SeedlingClassification
For a contemporary kaggle contest
Sentiment_Analysis
ultrasound-nerve-segmentation
Medical Image Segmentation using a U-Net model.
prateekm08's Repositories
prateekm08/CycleGAN-straightforward
PyTorch implementation of CycleGAN.
prateekm08/crowd-counting-I
This jupyter notebook is a PyTorch implementation of CrowdNet by Boominathan et al.
prateekm08/crowd-counting-GAN
Learning to map crowd densities using Conditional GANs
prateekm08/Multigrid-PyTorch
PyTorch implementation of the paper: Learning Generative ConvNets via Multi-grid Modeling and Sampling by Gao et al.
prateekm08/SeedlingClassification
For a contemporary kaggle contest
prateekm08/Sentiment_Analysis
prateekm08/ultrasound-nerve-segmentation
Medical Image Segmentation using a U-Net model.
prateekm08/adversairal-attacks-pytorch
A pytorch implementations of Adversarial attacks and utils
prateekm08/cs231n_solutions
prateekm08/coursera-neural-net
Assignments for Geoffrey Hinton's Neural Net Course on Coursera, translated from (gross)Matlab into (beautiful)Python.
prateekm08/DeepSelect
prateekm08/gephi-toolkit-demos
Quick demos using the Toolkit
prateekm08/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
prateekm08/morphsnakes
Morphological snakes for image segmentation and tracking
prateekm08/pmtk3
Probabilistic Modeling Toolkit for Matlab/Octave.
prateekm08/prateekmalhotra.github.io
Personal webpage
prateekm08/pytorch_resnet_cifar10
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
prateekm08/Sketch2face
prateekm08/speed
Learning To Predict Vehicle Speed From A Video
prateekm08/speed-challenge-2017
Explore how well deep neural networks perform at predicting vehicle speed given just visual data (dashcam video) containing highway and suburban driving.
prateekm08/streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
prateekm08/test