There are 2 repositories under learning-algorithms topic.
Master Algorithmic Programming Techniques. Learn algorithms through programming and advance your software engineering or data science career
NGC-Learn: Neurobiological Systems Simulation and NeuroAI Design in Python
Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.
Forward Pass Learning and Inference Library, for neural networks and general intelligence, Signal Propagation (sigprop)
TiMBL implements several memory-based learning algorithms.
Extension that adds Covid-19 related datasets to ASReview
Simple Tensorflow tutorials for learning by example
A repo holding the implementation as well as some theoretical explanation of the important relevant concepts. It is going to be in development for a long long time. I'll keep adding things everytime I have something to add to it, and I have the time for it. One can use it to learn the basics of Machine Learning from kind of scratch.
Use Tensorflow and NumPy to implement these basic ML models and learning algorithms from Coursera ML course
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford University, MIT, UC Berkeley. And an intent classifier which can classifies a query into one of the 21 given intents.
Library for Lagrange Interpolation
🧠 💡 🤖 Projects based in Machine Learning Labs. This projects was built using Jupyter Notebook, iPython, Python, Anaconda, Spyder IDE and JetBrains PyCharm. This repository it's based in some practical lab exercises and examples related with Machine Learning, using some libraries like NumPy, Matplotlib, SciPy, Pandas and TensorFlow to work on some datasets, among many others!
Forward-Forward Algorithm: An Alternative Learning Algorithm to Backpropagation
Unleash the power of Reinforcement Learning with our dynamic collection of AI bots! Witness learning in action. 🤖🚀
A fast and easy to use decision tree learner in java
Repository contains Jupiter notebooks covering work on advanced machine learning algorithms covering artificial neural networks using TensorFlow.
Implementation of Machine Learning, Deep Learning, Reinforcement Learning, Statistics, and Optimization algorithms in Python. I have organized the codes in respective sub-folders. Ongoing work!
Fully functional implementations of the most popularly used neural-network algorithms.
Determine taste of chemical molecules from their structure
Predict the star rating of a movie rating based on its content
This repository is for learning Algorithms.
Evolutionary algorithm with two different types of fitness functions: Langermann and cubic.
Sample programs showing solutions to puzzles solved using Greedy Algorithm
Learning Algorithms with Snake Game
Collection of Learning Algorithms.
ML Algorithms implimented in Python