kumarkanil's repositories
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
jupyter-themes
Custom Jupyter Notebook Themes
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
mongodb-json-files
:package: A curated list of JSON / BSON datasets from the web in order to practice / use in MongoDB
machine-learning-uiuc
🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
tf-idf_and_k-means
Text clustering with K-means and tf-idf
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
awesome-public-datasets
A topic-centric list of HQ open datasets. PR ☛☛☛
ipython-notebooks
A collection of IPython notebooks covering various topics.
nlp-datasets
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
DeepLearn
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
python-scraping
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
swift-algorithm-club
Algorithms and data structures in Swift, with explanations!
awesome-ios
A curated list of awesome iOS ecosystem, including Objective-C and Swift Projects
Python-Deep-Learning-Projects
Codebase for my book "Python DeepLearning Projects" | Learn applied deep learning for various use-cases on NLP, CV and ASR using TensorFlow and Keras. Book link.
golang-internals-resources
A collection of articles and videos to understand Golang internals.
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
pytorch-Deep-Learning-Minicourse
Minicourse in Deep Learning with PyTorch
albinotonnina.com
source-code
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
gitsome
A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools
interactive-coding-challenges
Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
ProgressHUD
ProgressHUD is a lightweight and easy-to-use HUD for iOS. (Objective-C)
scikit-learn
scikit-learn: machine learning in Python
algorithms-1
Minimal examples of data structures and algorithms in Python
project-based-learning
Curated list of project-based tutorials