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"
MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
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
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