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awesome-dynamicgraphlearning

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

awesome-neuro-ai-papers

Papers from the intersection of deep learning and neuroscience

b-soid

Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is a pipeline that pairs unsupervised pattern recognition with supervised classification to achieve fast predictions of behaviors that are not predefined by users.

bctpy

brain connectivity toolbox for python

benchmarking-gnns

Repository for benchmarking graph neural networks

black

The uncompromising Python code formatter

brain-cog

Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. The long term goal of BrainCog is to provide a comprehensive theory and system to decode the mechanisms and principles of human intelligence and its evolution, and develop artificial brains for brain-inspired conscious living AI in future Human-AI symbiotic Society.

c-elegans-neural-interactome

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

celegans-forwardcrawling-rnns

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

NMA Computational Neuroscience course

course-content-dl

NMA deep learning course

crf_cell_id

Automatic annotation of cell identities in dense cellular images.

cshl2022-deep-learning-manifolds-tutorial

cvxbook_additional_exercises

Additional exercises and data for EE364a. No solutions; for public consumption.

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

differentialequations.jl

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components

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

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fixed-point-finder

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