Brotherlui

opencv

Open Source Computer Vision Library

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mlflow

Open source platform for the machine learning lifecycle

TensorFlow-Course

:satellite: Simple and ready-to-use tutorials for TensorFlow

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

PySyft

Perform data science on data that remains in someone else's server

data-science-from-scratch

code for Data Science From Scratch book

google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

Grokking-Deep-Learning

this repository accompanies the book "Grokking Deep Learning"

dlaicourse

Notebooks for learning deep learning

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

trfl

TensorFlow Reinforcement Learning

lingvo

Lingvo

ml-class

Machine learning lessons and teaching projects designed for engineers

tf2_course

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

DeepLearningImplementations

Implementation of recent Deep Learning papers

Librefox

Librefox: Firefox with privacy enhancements

keras-deeplab-v3-plus

Keras implementation of Deeplab v3+ with pretrained weights

kmnist

Repository for Kuzushiji-MNIST, Kuzushiji-49, and Kuzushiji-Kanji

pwned-search

Pwned Password API lookup

pycon-2016-tutorial

Machine Learning with Text in scikit-learn

jh-kaggle-util

Jeff Heaton's Kaggle Utilities

tensorflow2-deep-reinforcement-learning

Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"

datalab-ml-training

Machine Learning Training

CS570

Code for CS570, Essentials of Data Science

sentiment-analysis-keras-conv

Using Convolutional Neural Net for Sentiment Analysis

deep_learning_quick_reference

monkey_classifier

advanced_neural_networks

DAT570 Advanced Neural Networks @ UIS