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ngc-learn

NACLab / ngc-learn

Star 124

NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python

python machine-learning neuroscience computational-neuroscience neural-networks cognitive-science spiking-neural-networks free-energy learning-algorithms hebbian-learning credit-assignment jax spiking-networks predictive-coding biological-neural-networks local-learning brain-inspired-computing credit-assignment-problem spike-timing-dependent-plasticity predictive-processing
  • Updated Nov 19, 2024
  • Python

ago109 / predictive-forward-forward

Star 55

Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.

machine-learning tensorflow neuroscience recurrent-networks neural-networks cognitive-science learning-algorithms credit-assignment predictive-coding biological-neural-networks local-learning brain-inspired-computing forward-forward forward-learning forward-pass-learning predictive-forward-forward
  • Updated Apr 2, 2023
  • Python

amassivek / signalpropagation

Star 45

Forward Pass Learning and Inference Library, for neural networks and general intelligence, Signal Propagation (sigprop)

machine-learning deep-learning neural-network pytorch artificial-intelligence neural-networks spiking-neural-networks learning-algorithms signal-propagation spiking-networks biological-neural-networks local-learning forward-forward forward-pass forward-learning forward-pass-learning sigprop
  • Updated Mar 24, 2023
  • Python

Saket-Kr / ML-Prep

Star 6

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.

linear-regression regression linear reinforcement-learning-algorithms recall logistic-regression variance gradient-descent learning-algorithms bias mini-batch supervised-machine-learning unsupervised-machine-learning logistic-regression-algorithm bias-variance-trade recall-precision
  • Updated Oct 2, 2021
  • Jupyter Notebook

RohitRathore1 / Repo-2020

Star 4

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.

nlp tensorflow julia keras deep-reinforcement-learning stanford-university cnn pytorch ode rnn machinelearning deeplearning unsupervised-learning pde learning-algorithms visual-recognition meta-learning linearregression intent-classification multitask-learning
  • Updated Jul 29, 2020
  • Jupyter Notebook

rubenandrebarreiro / fct-nova-machine-learning-labs

Star 3

🧠 💡 🤖 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 som…

python learning science engineering data-science machine-learning numpy jupyter-notebook artificial-intelligence computer learning-analytics neural-networks learning-to-rank nova informatics datasets learning-algorithms fct-nova new-university-of-lisbon fct-unl
  • Updated Nov 26, 2020
  • HTML

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