deepak-k-zefr

Python

All Algorithms implemented in Python

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

100-Days-Of-ML-Code

100 Days of ML Coding

bert

TensorFlow code and pre-trained models for BERT

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

mlcourse.ai

Open Machine Learning Course

system_design

Preparation links and resources for system design questions

t81_558_deep_learning

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

missingno

Missing data visualization module for Python.

PyTorch-NLP

Basic Utilities for PyTorch Natural Language Processing (NLP)

DeepLearningForNLPInPytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

deepschool.io

Deep Learning tutorials in jupyter notebooks.

d6tflow

Python library for building highly effective data science workflows

cookbook-2nd-code

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

parallel-tutorial

Parallel computing in Python tutorial materials

effective_python_notebook

scipy-2018-sklearn

Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller

Named-Entity-Recognition-BidirectionalLSTM-CNN-CoNLL

Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"

pandas-pipelines-custom-transformers

Material for Talk at PyData Seattle 2017

pytorch-seq2seq-intent-parsing

Intent parsing and slot filling in PyTorch with seq2seq + attention

CVND_Localization_Exercises

Notebooks for learning about object motion and localization methods in the last section of CVND.

dask-tutorial-scipy-2018

Materials for "Parallelizing Scientific Python with Dask"

PyDataAmsterdam2018

Contents of the workshop "Hands-on introduction to Deep Learning with Keras and Tensorflow" I gave at PyData Amsterdam 2018

CVND-udacity

Computer Vision Nanodegree program from Udacity

hackathons

This repo contains my hackathon solutions

yet_another_tiwtter_sentiment_analysis_part1

music_recommendation

contains the notebooks that I created for implementing probabilistic matrix factorization in PyTorch for music recommendation engine.

Electronic-Health-Records-GRUs

Udacity_CVND

Computer Vision Nanodegree Program