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coderust-2.0-python

In this repository, I will write my Python-based solutions to the Coderust 2.0 problems. Furthermore, I will try to tackle other related problems.

cpython

The Python programming language

cs-interview-important-problems

data_structures_in_python

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

deep-learning-specialization-notes

Things about the DL specialization from Coursera.

densenet

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

distributed_deep_learning

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

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.

machine-learning-interview-questions

This repository is to prepare for Machine Learning interviews.

mlpython

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

mlpytorch

Machine Learning algorithms in PyTorch from scratch for using GPUs.

mltensorflow

Machine Learning algorithms in TensorFlow from scratch for using GPUs.

neural-networks-hugo-larochelle-notes

one-page-resume

probabilistic-graphical-models-specialization-notes

python-mindwave

Python scripts to interface with the Neurosky Mindwave EEG Headset

python-neural-network

This is an efficient implementation of a fully connected neural network in NumPy. The network can be trained by a variety of learning algorithms: backpropagation, resilient backpropagation and scaled conjugate gradient learning. The network has been developed with PYPY in mind.

python-notes

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

pytorch_examples

In this repository, I try to implement modern deep architectures in PyTorch.

requests-for-research

A living collection of deep learning problems

seizure_type_classification_dataset

This repo is for sharing our pre-processed epileptic seizure type classification dataset.

structural-plasticity

tensorflow-speech-recognition-challenge

Trying out different models on the tensorflow speech recognition dataset hosted on kaggle.

udacity-unsupervised-learning

Notes on the Udacity Unsupervised Machine Learning course.

v136

Machine Learning for Health 2020