Sroy

machine-learning-interview-questions. This repository is to prepare for Machine Learning interviews.

Deep-Learning-Specialization-Notes. Things about the DL specialization from Coursera.

python-notes. If you are planning to give a coding interview in Python, remembering the information presented in this repository will be beneficial.

distributed_deep_learning. In this repository, I will combine PyTorch and Horovod to create high-performance distributed deep learning algorithms.

CS-Interview-Important-Problems.

DenseNet. In this repository, I have played with the DenseNet architecture.

MLPython. Jupyter Notebooks for implementing Machine Learning algorithms in Python from scratch.

data_structures_in_python. In this repository, I'm going to implement various data structures in Python from scratch.

EPI-Python-Notes. I have been learning lots of new Python features while reading the EPI Python book. This is my attempt to jot them down question-wise.

Probabilistic-Graphical-Models-Specialization-Notes.