Pinned Repositories
CityUniversity2014
Dan Dixey's MSc Data Science Files
Data-Science-in-Python
Tutorial on Data Science in Python
deeplearning-1
Python implementation of Deep Learning book
Exploring-and-Preparing-your-Data-with-BigQuery
BigQuery on GCP by Coursera
go-web
Source code for the book "Web Development with Go"
golang-web-dev
Machine-Learning-Algorithms
Code repository for Machine Learning Algorithms, published by Packt
Pivot_Table_in_Pandas_tutorial
Introduction to pivo ttable in Pandas
React-Front-to-Back-2022
Full Stack React App
Yelp-Project-Github
MSBA Semester 1 Yelp Project-Data Analysis in R
AkiraKane's Repositories
AkiraKane/go-web
Source code for the book "Web Development with Go"
AkiraKane/machine-learning-2
Content for Udacity's Machine Learning curriculum
AkiraKane/Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
AkiraKane/pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
AkiraKane/Practical-Deep-Reinforcement-Learning
AkiraKane/Neural-Network-for-Gondola
AkiraKane/Deep-Learning-21-Examples
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
AkiraKane/Deep-learning-with-PyTorch-video
Deep learning with PyTorch, published by Packt
AkiraKane/Spark-The-Definitive-Guide
Spark: The Definitive Guide's Code Repository
AkiraKane/Python-Machine-Learning-Cookbook
Code files for Python-Machine-Learning-Cookbook
AkiraKane/Deep-Learning-By-Example
Deep Learning By Example, published by Packt
AkiraKane/Deep-Learning-with-PyTorch
Deep Learning with PyTorch, published by Packt
AkiraKane/Scala-Machine-Learning-Projects
Scala Machine Learning Projects, published by Packt
AkiraKane/Python-Deep-Learning-Cookbook
Python Deep Learning Cookbook, published by Packt
AkiraKane/Learning-Scala-Programming
Learning Scala Programming, published by Packt
AkiraKane/DeepNLP-models-Pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
AkiraKane/training-data-analyst
Labs and demos for courses in the Data Engineer track of GCP Training (http://cloud.google.com/training).
AkiraKane/deep-learning-with-r-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
AkiraKane/UChicago_ML
ipython notebooks for UChicago machine learning class, fall 2017
AkiraKane/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
AkiraKane/CSE6250BDH-LAB-DL
GT CSE6250 Big Data Analytics for Healthcare - Deep Learning Lab Sessions
AkiraKane/DeepRL
AkiraKane/deep-learning-foundation
Personal implementation of projects in the Udacity Deep Learning Nanodegree Foundation course (August 2017)
AkiraKane/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
AkiraKane/99-problems
This is an adaptation of the Ninety-Nine Prolog Problems written by Werner Hett.
AkiraKane/DeepLearningFrameworks
Demo of running NNs across different frameworks
AkiraKane/TensorFlow-Tutorials
Simple tutorials using Google's TensorFlow Framework
AkiraKane/DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
AkiraKane/Machine-Learning-Algorithms
Code repository for Machine Learning Algorithms, published by Packt
AkiraKane/news_analysis_spark