justin-ibc Goto Github PK

bayesian-deep-learning-notes

A list of notes on Bayesian deep learning papers

boltzmann-gan

capsnet-pytorch

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

chemcoord

A python module for manipulating cartesian and internal coordinates.

deep-active-learning

Deep Active Learning

deep-learning-notes

Experiments with Deep Learning

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

diffusion-probabilistic-models

Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics

easy-neural-ode

Code for the paper "Learning Differential Equations that are Easy to Solve"

ebm_code_release

Code for Implicit Generation and Generalization with Energy Based Models

gpflow

Gaussian processes in TensorFlow

isampling

Enhanced Sampling with Deep Reinforcement Learning

maf_tf

Masked Autoregressive Flow - Tensorflow Implementation

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

martinez

Martinez-Rueda polygon clipping algorithm, does boolean operation on polygons (multipolygons, polygons with holes etc): intersection, union, difference, xor

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

mindspore

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

neural-processes

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

normalizing-flows

Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.

openmm-nn

OpenMM plugin to define forces with neural networks

openmm-tutorial-msbs

OpenMM tutorial for the MSBS course

optimol

Optimization of binding affinities in chemical space for drug discovery

physnet

Code for training PhysNet models

pinn

a Python library for building atomic neural networks

plumed-pybias

PyBias: PLUMED plug-in with embeded Python

probability

Probabilistic reasoning and statistical analysis in TensorFlow

reinvent-randomized

Recurrent Neural Network using randomized SMILES strings to generate molecules

schnet

SchNet - a deep learning architecture for quantum chemistry

score_sde

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

soapxx