Starred repositories
Learn OpenCV : C++ and Python Examples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
TensorFlow Tutorials with YouTube Videos
Notebooks and code for the book "Introduction to Machine Learning with Python"
Code for Tensorflow Machine Learning Cookbook
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Tutorials for creating and using ONNX models
comparing stand up comedians using natural language processing
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
Some ipython notebooks implementing AI algorithms
Code for the online course "Deployment of Machine Learning Models"
Udacity's Self-Driving Car Nanodegree project files and notes.
Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).
Don't feel pain to use Deformable Convolution
Disease Prediction based on Symptoms.
Codes for Lecture Notes in Probabilistic Robotics
A collection of all projects pertaining to different layers in the SDC software stack
Code examples on Apache Spark using python
Training a decision tree to predict diseases from symptoms.
Pytorch implementation of the DeepDream computer vision algorithm
tuSimple dataset road lane instance segmentation with PyTorch, ROS, ENet, SegNet and Discriminative Loss.
An Intelligent Modular Real-Time Vision-Based System for Environment Perception (NeurIPS 2022 Workshop)
notebooks with example for machine learning examples
Video Analysis using Machine Learning
This repository is made for my book: "Data Mining and Big Data Analytics". It contains all the codes and the dataset used in the book.