Topic: learning-algorithms Goto Github
Some thing interesting about learning-algorithms
Some thing interesting about learning-algorithms
learning-algorithms,Determine taste of chemical molecules from their structure
User: abuhisham25
learning-algorithms,Predict the star rating of a movie rating based on its content
User: abuhisham25
learning-algorithms,Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.
User: ago109
learning-algorithms,Forward-Forward Algorithm: An Alternative Learning Algorithm to Backpropagation
User: ahmed-alllam
learning-algorithms,
User: ajaytanwani
learning-algorithms,Unleash the power of Reinforcement Learning with our dynamic collection of AI bots! Witness learning in action. 🤖🚀
User: akuratihemanth
learning-algorithms,This repository is for learning Algorithms.
User: alice52
Home Page: https://programmercarl.com/
learning-algorithms,Forward Pass Learning and Inference Library, for neural networks and general intelligence, Signal Propagation (sigprop)
User: amassivek
Home Page: https://amassivek.github.io/sigprop
learning-algorithms,A fast and easy to use decision tree learner in java
User: antopolskiy
learning-algorithms,Active learning for systematic reviews
Organization: asreview
Home Page: https://asreview.ai
learning-algorithms,Extension that adds Covid-19 related datasets to ASReview
Organization: asreview
learning-algorithms,Repository contains Jupiter notebooks covering work on advanced machine learning algorithms covering artificial neural networks using TensorFlow.
User: codebygarrysingh
learning-algorithms,Learning Based Java (LBJava)
Organization: cogcomp
Home Page: http://cogcomp.cs.illinois.edu/page/software_view/LBJava
learning-algorithms,
Organization: cortical-team
learning-algorithms,Playground for some learning algorithms on CPU & GPU
User: exbibyte
learning-algorithms,Lottery analysis + features for use in Machine Learning algorithms
User: jeffmv
learning-algorithms, TiMBL implements several memory-based learning algorithms.
Organization: languagemachines
Home Page: https://languagemachines.github.io/timbl
learning-algorithms,Implementation of Compression and Learning Algorithms
User: makavelj
Home Page: https://janoschruff.wordpress.com/
learning-algorithms,Collection of Learning Algorithms.
User: manosriram
learning-algorithms,
User: maongolima
learning-algorithms,Simple Tensorflow tutorials for learning by example
User: michaelmendoza
learning-algorithms,Evolutionary algorithm with two different types of fitness functions: Langermann and cubic.
User: mlennig
learning-algorithms,Sample programs showing solutions to puzzles solved using Greedy Algorithm
User: mranuraggarg
learning-algorithms,NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
Organization: naclab
learning-algorithms,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!
User: neerajkumarvaid
learning-algorithms,Fully functional implementations of the most popularly used neural-network algorithms.
User: priyanka-kasture
learning-algorithms,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.
User: rohitrathore1
learning-algorithms,🧠 💡 🤖 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!
User: rubenandrebarreiro
learning-algorithms,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.
User: saket-kr
learning-algorithms,Master Algorithmic Programming Techniques. Learn algorithms through programming and advance your software engineering or data science career
User: thegeekiestone
learning-algorithms,Use Tensorflow and NumPy to implement these basic ML models and learning algorithms from Coursera ML course
User: themech
learning-algorithms,ML Algorithms implimented in Python
User: vbvh98
learning-algorithms,Library for Lagrange Interpolation
User: yurlungur
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