Dushyant Kumar Shukla's repositories
Analytics_Vidhya
Codes related to activities on AV including articles, hackathons and discussions.
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Data-Science-Cheatsheet
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
deep-learning-models
Keras code and weights files for popular deep learning models.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
elections
Statistical anomalies in Russian elections
Genetic-Neural-Network
Training a Neural Network using Genetic Programming.
graphic-detail-data
Data and code behind the Economist's Graphic Detail section.
Hybrid-K-means-Pso
An advanced version of K-Means using Particle swarm optimization for clustering of high dimensional data sets, which converges faster to the optimal solution.
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
machine-learning
Content for Udacity's Machine Learning curriculum
models
Models and examples built with TensorFlow
nfl-elo-game
Data and code for FiveThirtyEight's NFL game
NiaPy
Python microframework for building nature-inspired algorithms. Official docs: http://niapy.readthedocs.io/en/stable/
opencv-machine-learning
Machine Learning for OpenCV: Intelligent image processing with Python
Practical_DL
DL course taught by Victor Lempitsky
Practical_RL
A course in reinforcement learning in the wild
pyswarms
A research toolkit for particle swarm optimization in Python
Python-Notebooks
IPython Notebooks from old blog posts
tfjs
A WebGL accelerated JavaScript library for training and deploying ML models.
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
YOLO_Object_Detection
This is the code for "YOLO Object Detection" by Siraj Raval on Youtube