qsimeon Goto Github PK

awesome-dynamicgraphlearning

Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

c-elegans-neural-interactome

Realtime simulation and visualization of neural dynamics of a full nervous system (C. elegans).

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cog

Code for the COG dataset and network

computation-thru-dynamics

Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.

course-content-dl

NMA deep learning course

crf_cell_id

Automatic annotation of cell identities in dense cellular images.

cshl2022-deep-learning-manifolds-tutorial

datahigh

DataHigh: A graphical user interface for visualizing and interacting with high-dimensional neural activity

dcrnn_pytorch

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

ddf-applications-to-neurons

Lawson's code.

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

diffusion

Denoising Diffusion Probabilistic Models

diffusion-probabilistic-models

Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics

dig

A library for graph deep learning research

dnn-object-manifolds

dpca

An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)

ebm_code_release

Code for Implicit Generation and Generalization with Energy Based Models

fixed-point-finder

FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks

genesis-2.4

Repository for continued development of GENESIS 2.4 neural simulator

geometry-fewshot-learning

gnns-in-network-neuroscience

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

holt-winters

The repository provides an in-depth analysis and forecast of a time series dataset as an example and summarizes the mathematical concepts required to have a deeper understanding of Holt-Winter's model. It also contains the implementation and analysis to time series anomaly detection using brutlag algorithm.

how-to-read-pytorch

Quick, visual, principled introduction to pytorch code through five colab notebooks.

learned_optimization

learning-with-assemblies

Code supporting the paper "Weakly Supervised Learning with Assemblies of Neurons", by Dabagia, Papadimitriou, and Vempala [2021].

lernapparat

Various Notebooks for Lernapparat.de

lfads-run-manager

Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)

m2python

Short python notebook for teaching