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adversarialvariationalbayes

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

autograd-lib

backpack

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

data-structures-and-algorithms-in-python

Michael T. Goodrich, Robert Tamassia, and Michael H. Goldwasser, "Data Structure and Algorithms in Python"

dvrl

Deep Variational Reinforcement Learning

e2c

TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images

fairmotion

Tools to load, process and visualize motion capture data

gaussianmixturereduction

Torch based gaussian mixture reduction algorithms

hbp

Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations

homework_fall2020

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

jeonghyunho.github.io

A content-first, sliding sidebar theme for Jekyll.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kfac-pytorch

Pytorch implementation of KFAC and E-KFAC (Natural Gradient).

learning-concurrency-in-python

Learning Concurrency in Python by Packt

loss-landscape

Code for visualizing the loss landscape of neural nets

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

metacure-public

mosse-tracker

Implementation of MOSSE tracker in MATLAB: Visual Object Tracking using Adaptive Correlation Filters (CVPR 2010)

mpu9250_qfilter

Arduino sketches for MPU9250 9DoF with AHRS sensor fusion

mpu9250_robojax

Arduino library for communicating with the InvenSense MPU-9250 and MPU-9255 nine-axis IMUs.

neural-process-family

Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

plotneuralnet

Latex code for making neural networks diagrams

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

set_transformer

Pytorch implementation of set transformer

simpledm

simple character deepmimic

spinningup

An educational resource to help anyone learn deep reinforcement learning.

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

swampy

Code for Swampy, a set of modules used in Think Python, first edition

sylvester-flows