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aaai-19-oral-presentation

AAAI-19 Oral Presentation

abigsurvey

A collection of 300+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)

action-recognition

Action Recognition

action-recognition-1

these days I have downed l lot of papers about action recognition,all of them are form cvpr iccv nip and so on

actions-for-actions

Diagnostic tools and additional visualizations from "What Actions are Needed for Understanding Human Actions in Videos?" ICCV 2017

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

aminobert-pytorch

PyTorch checkpoint of AminoBERT in RGN-2 by transferring weight from original TensorFlow checkpoint.

awesome-bayesian-deep-learning

A curated list of resources dedicated to bayesian deep learning

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-hyperbolic-learning

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

awesome-hyperbolic-neuralnetworks

Papers and Codes for the deep learning in hyperbolic space

awesome-hypergraph-network

A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.

awesome-llm-kg

Awesome papers about unifying LLMs and KGs

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

bayesdl-survey

Bayesian Deep Learning: A Survey

bayesgan

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bayesian-uncertainty-matching-for-uda

c-rnn-gan

Implementation of C-RNN-GAN.

causal_inference_python_code

Python code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins

causaldiscoverytoolbox

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

cbkh

CBKH: The Cornell Biomedical Knowledge Hub

coder

CODER: Knowledge infused cross-lingual medical term embedding for term normalization. [JBI, ACL-BioNLP 2022]

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

conv_seq2seq

A tensorflow implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)

corex_topic

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

cs6208_2023

Advanced Topics in Artificial Intelligence, NUS CS6208, 2023