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capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

causal_reading_group

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

causalml

Uplift modeling and causal inference with machine learning algorithms

chainer

A flexible framework of neural networks for deep learning

chatglm-6b

ChatGLM-6B：开源双语对话语言模型 | An Open Bilingual Dialogue Language Model

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

conditionalvae

Conditional VAE in Tensorflow 2 | Conditional Image Generation | CelebA dataset

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

curvature-learning-framework

Curvlearn, a Tensorflow based non-Euclidean deep learning framework.

cvae

Tensorflow Code for Conditional Variational AutoEncoder

cvar

ddp-on-trajectory-optimization

This is a Matlab replication of a conference paper 'Trajectory optimization of autonomous driving by differential dynamic programming'.

deberta

The implementation of DeBERTa

decrs

Deconfounded Recommendation for Alleviating Bias Amplification

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-listwise-context-model-for-ranking-refinement

A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

deep-rl-tensorflow

TensorFlow implementation of Deep Reinforcement Learning papers

deeprec

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dgraph

Fast, Distributed Graph DB

dice

The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)

dissertation

Sources for my PhD dissertation on the Raft consensus algorithm

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

document

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

dr-ranking-metric

(RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"

dssm