cognoscentai

A-Meta-Transfer-Objective-For-Learning-To-Disentangle-Causal-Mechanisms

Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"

aixijs

AIXIjs - General Reinforcement Learning in the Browser

ali-g

Implementation of the ALI-G algorithm (PyTorch, Tensorflow)

AlphaNPI

Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.

am-i-compositional

Amortized_SVGD

Experiments of amortized stein variational gradient

AmortizedCausalDiscovery

Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data

amundsen

Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

apl

Open source implementation of Adaptive Posterior Learning (ICLR 2019)

AttentionDeepMIL

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

cognoscentai/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

cognoscentai/ignite

High-level library to help with training neural networks in PyTorch

cognoscentai/haste

Haste: a fast, simple, and open RNN library

cognoscentai/variational_inference_notes

cognoscentai/understandingbdl

cognoscentai/sampleproject

A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

cognoscentai/fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

cognoscentai/google-research

Google AI Research

cognoscentai/msppy

cognoscentai/gluon-ts

Probabilistic time series modeling in Python

cognoscentai/loss-landscape

Code for visualizing the loss landscape of neural nets

cognoscentai/tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

cognoscentai/MetaLearning-TF2.0

Meta learning framework with Tensorflow 2.0

cognoscentai/DeepAnticipatoryNetworks

Implementation of 'Maximizing Information Gain via Prediction Rewards'.

cognoscentai/Auto-PyTorch

Automatic architecture search and hyperparameter optimization for PyTorch

cognoscentai/swa_gaussian

Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

cognoscentai/TCN

Sequence modeling benchmarks and temporal convolutional networks

cognoscentai/oyster

Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

cognoscentai/GenDICE

Code for `GenDICE: Generalized Offline Estimation of Stationary Values'

cognoscentai/neural-processes

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

cognoscentai/TimeSynth

A Multipurpose Library for Synthetic Time Series in Python

cognoscentai/set_transformer

Pytorch implementation of set transformer

cognoscentai/swa

Stochastic Weight Averaging in PyTorch

cognoscentai/bayesian_benchmarks

A community repository for benchmarking Bayesian methods

cognoscentai/CausalDiscoveryToolbox

cognoscentai/MV-Kumaraswamy

cognoscentai/planet-1

Learning Latent Dynamics for Planning from Pixels

cognoscentai/wattnet-fx-trading

WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series

cognoscentai/causal

Discovering directional relations via minimum predictive information regularization

cognoscentai/SingleModelUncertainty

Learning error bars for neural network predictions