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causal_comp

This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, Uri Shalit, Gal Chechik (Spotlight)

causal_discovery_toolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

causal_inference_evaluation

Causal Inference Evaluation Suite

causal_learning_unknown_interventions

Code for "Neural causal learning from unknown interventions"

cfrnet

Counterfactual Regression

cgnn

Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"

code-server

VS Code in the browser

cognoscentai.github.io

compressive-transformer-pytorch

Pytorch implementation of Compressive Transformers, from Deepmind

counterfactual_generative_networks

[ICLR'21] Counterfactual Generative Networks

crowd-seg

crowded-valley---results

This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"

curveball-pytorch

An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch

curveball-tensorflow

An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In tensorflow

cvpods

All-in-one Toolbox for Computer Vision Research.

dag-gnn

dag-nf

Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tractable Jacobian.

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deepanticipatorynetworks

Implementation of 'Maximizing Information Gain via Prediction Rewards'.

deeplearningexamples

Deep Learning Examples

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deepobs

DeepOBS: A Deep Learning Optimizer Benchmark Suite

detectron2_instance_segmentation_demo

How to train Detectron2 with Custom COCO Datasets | DLology

detr

End-to-End Object Detection with Transformers

deup

Code for experiments to learn uncertainty

dgi

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

dino

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

dirichlet-vae-topic-models

implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

dnd-lstm

A pytorch implementation of LSTM cell with a differentiable neural dictionary, based on Ritter et al. (2018). Been There, Done That: Meta-Learning with Episodic Recall.