Pinned Repositories
Adversarial-Semisupervised-Semantic-Segmentation
Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge
AF-Classification
AF Classification of short ECG lead recordings
DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Homogeneous-Self-Dual-LP-Solver
Homogeneous Self-Dual Method for Linear Programs
Interior-Point-Solver-for-LP-1
Mehrotra's Predictor-Corrector Algorithm for Linear Programming
ML-Interview
Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
ml-notes
Collection of notes I take while studying machine learning
PyTorch-RL
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
references
Collection of useful references to miscellaneous topics.
mohitzsh's Repositories
mohitzsh/Adversarial-Semisupervised-Semantic-Segmentation
Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge
mohitzsh/PyTorch-RL
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
mohitzsh/DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
mohitzsh/azalea
Hex board game AI with self-play learning based on the AlphaZero algorithm
mohitzsh/ban-vqa
Bilinear attention networks for visual question answering
mohitzsh/bottom-up-attention-vqa
An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.
mohitzsh/cv
My YAML cv and resume.
mohitzsh/dlsys-course.github.io
Deep learning system course
mohitzsh/drake
A planning, control, and analysis toolbox for nonlinear dynamical systems. More info at
mohitzsh/ee227c.github.io
EE227C (Spring 2018) Course page
mohitzsh/emerging_entities_17
mohitzsh/fastMRI
A large-scale dataset of both raw MRI measurements and clinical MRI images
mohitzsh/gated-path-planning-networks
mohitzsh/hugo-academic
The website builder for Hugo. Build and deploy a beautiful website in minutes :rocket:
mohitzsh/lightning
Large-scale linear classification, regression and ranking in Python
mohitzsh/Medical-Cross-Modality-Domain-Adaptation
[IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss
mohitzsh/model-based-papers
My reading list for model-based control
mohitzsh/mri-seg
Methods for Segmentation of brain MRI
mohitzsh/multiagent-programmatic-supervision
PyTorch implementation of Generating Multi-Agent Trajectories using Programmatic Weak Supervision
mohitzsh/NLG-RL
Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction
mohitzsh/POT
Python Optimal Transport library
mohitzsh/ppocma
mohitzsh/PriorImageCaption
mohitzsh/pytorch-value-iteration-networks
Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)
mohitzsh/RegNet
Nonrigid image registration using multi-scale 3D convolutional neural networks
mohitzsh/smooth-ot
Python implementation of smooth optimal transport.
mohitzsh/soft-dtw
Python implementation of soft-DTW.
mohitzsh/spinningup
An educational resource to help anyone learn deep reinforcement learning.
mohitzsh/vim
mohitzsh/voxelmorph
Unsupervised Learning for Image Registration