neuroailab / Neural-AlignmentLinks
☆24Updated 5 years ago
Alternatives and similar repositories for Neural-Alignment
Users that are interested in Neural-Alignment are comparing it to the libraries listed below
Sorting:
- Code for "Deep predictive coding network for object recognition"☆25Updated 5 years ago
- Research of a deep predictive coding model for unsupervised representation learning from video and audio data.☆31Updated 6 years ago
- ☆28Updated 6 years ago
- Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…☆35Updated 5 years ago
- Code for "A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs", ICLR 2019☆48Updated 6 years ago
- Tensorflow implementation of Spike-GAN, which allows generating realistic patterns of neural activity whose statistics approximate a give…☆23Updated 7 years ago
- Deep Learning without Weight Transport☆36Updated 6 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Updated last year
- Tree-structured recurrent switching linear dynamical systems☆37Updated 5 years ago
- ☆115Updated last year
- Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆21Updated 7 years ago
- Predictive State Recurrent Neural Networks☆18Updated 5 years ago
- Responses of 10,000 neurons to 2,800 natural images☆72Updated 6 years ago
- Biologically-realistic recurrent convolutional neural networks☆98Updated 2 years ago
- Official code for On Path Integration of Grid Cells: Group Representation and Isotropic Scaling (NeurIPS 2021)☆52Updated 3 years ago
- Lagrangian VAE☆28Updated 7 years ago
- Modular Object-Oriented Games (MOOG): Python-based game engine for reinforcement learning, psychology, and neurophysiology.☆37Updated last month
- Algorithm to alleviate catastrophic forgetting in neural networks by gating hidden units☆23Updated 5 years ago
- Code for "Deep predictive coding network with local recurrent processing for object recognition"☆30Updated last year
- A large database of artificial neural network statistics during training☆15Updated 4 years ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆162Updated 4 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆40Updated last year
- Learning to Learn: Gradient-free Optimization framework☆36Updated 4 years ago
- ☆14Updated 3 years ago
- Polished code for "Can a single neuron solve MNIST? The computational power of biological dendritic trees”☆47Updated 5 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆74Updated 3 years ago
- ☆32Updated 7 years ago
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆23Updated 4 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆89Updated 3 years ago