isanjayyadav Goto Github PK

grokking-deep-learning

this repository accompanies my forthcoming book "Grokking Deep Learning"

how_to_deploy_a_keras_model_to_production

This is the code for the "How to Deploy a Keras Model to Production" by Siraj Raval on Youtube

image-captioning

Image Captioning from scratch

interactive_tools

Interactive Tools: Machine Learning, Deep Learning, Math, and related fields

jupyter-notebooks

keras

knowledge-graph-analysis-programming-exercises

Exercises for the Analysis of Knowledge Graphs

knowledge-graph-keras

Some knowledge graph tasks with Keras

machine-learning-by-hand

Library of all basic machine learning algorithms coded with minimal external support

machine-learning-links-and-lessons-learned

List of all the lessons learned, best practices, and links from my time studying machine learning

ml-class

Machine learning lessons and teaching projects designed for engineers

ml-road

Machine Learning Resources, Practice and Research

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

mybooks-1

nlpia

Examples and libraries for "Natural Language Processing in Action" book

one-python-benchmark-per-day

An ongoing fun challenge where I'll try to post one Python benchmark per day.

paper-notes

x'th attempt at keeping note of papers I have read

pg-is-all-you-need

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

python-for-probability-statistics-and-machine-learning

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

python-machine-learning-book-2nd-edition-1

The "Python Machine Learning (2nd edition)" book code repository and info resource

pythonrobotics

Python sample codes for robotics algorithms.

pytorch

pytorch-classification

Classification with PyTorch.

pytorch-dqn

An implementation of various flavours of deep Q-learning (DQN) in PyTorch.

pytorch-generative-models

An introduction to generative adversarial networks (GANs) and variational autoencoders (VAEs) in PyTorch, by implementing a few key architectures.

pytorch-image-classification

An introduction to image classification in PyTorch, by implementing a few key architectures.

pytorch-practice

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.