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/AlphaNPI

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

cognoscentai/cognoscentai.github.io

cognoscentai/counterfactual_generative_networks

[ICLR'21] Counterfactual Generative Networks

cognoscentai/cvpods

All-in-one Toolbox for Computer Vision Research.

cognoscentai/detr

End-to-End Object Detection with Transformers

cognoscentai/DEUP

Code for experiments to learn uncertainty

cognoscentai/dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

cognoscentai/flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

cognoscentai/hopfield-layers

Hopfield Networks is All You Need

cognoscentai/involution

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

cognoscentai/kerod

DETR - Faster RCNN implementation in tensorflow 2

cognoscentai/Loss-based-Attention-for-Interpreting-Image-level-Prediction-of-Convolutional-Neural-Networks

cognoscentai/Maximally_Interfered_Retrieval

Codebase for "Online Continual Learning with Maximally Interfered Retrieval"

cognoscentai/mil

Multiple instance learning library for Python

cognoscentai/MQRNN

Multi-Quantile Recurrent Neural Network for Quantile Regression

cognoscentai/N-BEATS-1

cognoscentai/neural_prophet

NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch

cognoscentai/nn

🧠 Minimal implementations/tutorials of deep learning papers with side-by-side notes

cognoscentai/OP3

Entity Abstraction in Visual Model-Based Reinforcement Learning

cognoscentai/PED-DETR-for-Pedestrian-Detection

cognoscentai/perceiver-pytorch

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

cognoscentai/PixelSSL

A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks

cognoscentai/rcps

Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"

cognoscentai/ReAgent

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

cognoscentai/SD-FSIC

cognoscentai/Self-Tuning-Networks

PyTorch implementation of "STNs" and "Delta-STNs"

cognoscentai/sls

Implements stochastic line search

cognoscentai/texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

cognoscentai/v-cdn

[NeurIPS 2020] Causal Discovery in Physical Systems from Videos

cognoscentai/vision_transformer