good-repos's repositories
NAB
The Numenta Anomaly Benchmark
cvessentials
Tutorial Series (60 hour course): Essentials of computer vision
minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Metrics
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
Coursera_Reinforcement_Learning
Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute
EC-Bestiary
A bestiary of evolutionary, swarm and other metaphor-based algorithms
Learn_Computer_Science_in_5_Months
This is the Curriculum for "Learn Computer Science in 5 Months" By Siraj Raval on Youtube
pyade
Python Advanced Differential Evolution
learn_math_fast
This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube
Build-and-Deploy-an-End-to-End-Deep-Learning-System-
Build-and-Deploy-an-End-to-End-Deep-Learning-System
The-Ultimate-Flask-Course
The Ultimate Flask Course, published by Packt
swarmopt
Swarm intelligence optimizer
SnakeAI
Train a Neural Network to play Snake using a Genetic Algorithm
targer
BiLSTM-CNN-CRF tagger
stationarizer
Smart, automatic detection and stationarization of non-stationary time series data.
PyCleverAlgorithms
CleverAlgorithms in Python
Fuzzy-clustering-based-on-FOA
Fuzzy clustering based on Forest optimization algorithm in Matlab
Genetic-Algorithm-for-Job-Shop-Scheduling-and-NSGA-II
Learning how to implement GA and NSGA-II for job shop scheduling problem in python
Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
Learn_Blockchain_in_2_months
This is the code for "Learn Blockchain in 2 Months" by Siraj Raval on Youtube
CS224n
CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017
Learn_Deep_Learning_in_6_Weeks
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
AI_Freelancing
This is the code for "How to Do Freelance AI Programming" By Siraj Raval on Youtube
text-classification
An example on how to train supervised classifiers for multi-label text classification using sklearn pipelines
Classification-Algorithms
Classification Algorithms: K-Nearest Neighbor, Naïve Bayes, Decision Tree implementation, including Random Forests and Boosting using AdaBoost based on Decision Tree, achieving a 95% accuracy using 10-Fold Cross Validation on continuous and categorical gene data.
LSTM-Attention
LSTM-Attention
holcrawl
holcrawl is a crawler for building Hollywood movies datsets.