Pinned Repositories
18S096SciML
18.S096 - Applications of Scientific Machine Learning
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
agents
TF-Agents is a library for Reinforcement Learning in TensorFlow
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
awesome-streamlit
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
Deep-Reinforcement-Learning-in-Trading
ElementsOfStatisticalLearning
gym-anytrading
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
PyLit
Best of PyCaret and Streamlit - a web based app for rapid modeling experiments and visualization without the need to code
tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
shubhsoni's Repositories
shubhsoni/PyLit
Best of PyCaret and Streamlit - a web based app for rapid modeling experiments and visualization without the need to code
shubhsoni/18S096SciML
18.S096 - Applications of Scientific Machine Learning
shubhsoni/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
shubhsoni/awesome-streamlit
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
shubhsoni/HandsOn-Unsupervised-Learning-with-Python
HandsOn-Unsupervised-Learning-with-Python, Published by Packt
shubhsoni/pysad
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
shubhsoni/python_algo_ds
NPTEL python algo and ds course
shubhsoni/gym-anytrading
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
shubhsoni/tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
shubhsoni/AlphaPy
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
shubhsoni/awesome-Python-data-science-books
Probably the best curated list of data science books in Python
shubhsoni/BayesMadeSimple
Code for a tutorial on Bayesian Statistics by Allen Downey.
shubhsoni/cookiecutter-kaggle
A cookiecutter Conda template to bootstrap your Kaggle projects (and any data science Python projects anyway)
shubhsoni/cs329s-ml-deployment-tutorial
Code and files to go along with CS329s machine learning model deployment tutorial.
shubhsoni/darts
A python library for easy manipulation and forecasting of time series.
shubhsoni/dlaicourse
Notebooks for learning deep learning
shubhsoni/hands-on-time-series-analylsis-python
Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel
shubhsoni/interpretable-ml-book
Book about interpretable machine learning
shubhsoni/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
shubhsoni/machine-learning-mindmap
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
shubhsoni/ml_tech_stack
shubhsoni/MLOps-IRIS
Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOps
shubhsoni/pdfs
Technically-oriented PDF Collection (Papers, Specs, Decks, Manuals, etc)
shubhsoni/Practical-Time-Series-Analysis
Practical Time-Series Analysis, published by Packt
shubhsoni/pycaret
An open source, low-code machine learning library in Python
shubhsoni/Python
All Algorithms implemented in Python
shubhsoni/RL_excercises
Reinforcement Learning: An Introduction second edition Richard S. Sutton and Andrew G. Barto
shubhsoni/ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
shubhsoni/useful_links
Useful resources for Machine learning
shubhsoni/vaccine_availability
Get vaccine availability in India