justin-iBC's repositories
ebm_code_release
Code for Implicit Generation and Generalization with Energy Based Models
CapsNet-pytorch
PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules
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
easy-neural-ode
Code for the paper "Learning Differential Equations that are Easy to Solve"
GPflow
Gaussian processes in TensorFlow
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
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)
Stein-Variational-Gradient-Descent
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
Tensorflow-Cookbook
Simple Tensorflow Cookbook for easy-to-use
transformer
A TensorFlow Implementation of the Transformer: Attention Is All You Need