Awesome-Computer-Vision-Paper-ListThis repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.
Stars: ✭ 248 (+350.91%)
themis-mlA library that implements fairness-aware machine learning algorithms
Stars: ✭ 93 (+69.09%)
data-ethics-clubA reading list and fortnightly discussion group designed to provoke discussion about ethical applications of, and processes for, data science.
Stars: ✭ 60 (+9.09%)
PwcPapers with code. Sorted by stars. Updated weekly.
Stars: ✭ 15,288 (+27696.36%)
LFM1b-analysesPython scripts for studying bias in recommender systems
Stars: ✭ 18 (-67.27%)
fairlensIdentify bias and measure fairness of your data
Stars: ✭ 51 (-7.27%)
deep-explanation-penalizationCode for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584
Stars: ✭ 110 (+100%)
best AI papers 2021A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
Stars: ✭ 2,740 (+4881.82%)
FISROfficial repository of FISR (AAAI 2020).
Stars: ✭ 72 (+30.91%)
mllpThe code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
Stars: ✭ 15 (-72.73%)
graph2vec tfThis repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".
Stars: ✭ 146 (+165.45%)
AAAI 2019 EXAMOfficial implementation of "Explicit Interaction Model towards Text Classification"
Stars: ✭ 68 (+23.64%)
procedural-advmlTask-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)
Stars: ✭ 47 (-14.55%)
QuoraBooksA GitHub repo for Quant Finance resources
Stars: ✭ 17 (-69.09%)
Active-Passive-Losses[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels
Stars: ✭ 92 (+67.27%)
misinfo📊 Tools to Perform ‘Misinformation’ Analysis on a Text Corpus (wrapper for methods in https://github.com/PDXBek/Misinformation)
Stars: ✭ 17 (-69.09%)
imbalanced-regression[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
Stars: ✭ 425 (+672.73%)
Unsupervised Deep LearningUnsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders
Stars: ✭ 36 (-34.55%)
GraphDBLPa Graph-based instance of DBLP
Stars: ✭ 33 (-40%)
papersSummarizing the papers I have read (Japanese)
Stars: ✭ 38 (-30.91%)
responsible-ai-toolboxThis project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.
Stars: ✭ 615 (+1018.18%)
reading-groupDiscussions on papers, frameworks, blogs and ideas every Saturday.
Stars: ✭ 57 (+3.64%)
fateFate is a modern science chinese name create tool.
Stars: ✭ 1,974 (+3489.09%)
cuteOS-referencesDocumentation, references, and collected academic research for the cuteOS Kernel.
Stars: ✭ 32 (-41.82%)
awesome-list-of-awesomesA curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.
Stars: ✭ 259 (+370.91%)
geoflowR engine to orchestrate and run (meta)data workflows
Stars: ✭ 28 (-49.09%)
neural-tweet-searchMulti-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search (Rao et al. AAAI'19)
Stars: ✭ 26 (-52.73%)
openfairdbOpen Fair DB is the CreativCommons Backend of Kartevonmorgen.org
Stars: ✭ 53 (-3.64%)
paper-surveySummary of machine learning papers
Stars: ✭ 26 (-52.73%)
LFattNetAttention-based View Selection Networks for Light-field Disparity Estimation
Stars: ✭ 41 (-25.45%)
interpretable-mlTechniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
Stars: ✭ 17 (-69.09%)
coursera-gan-specializationProgramming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Stars: ✭ 277 (+403.64%)
bias-in-credit-modelsExamples of unfairness detection for a classification-based credit model
Stars: ✭ 18 (-67.27%)
awesome-secure-computationAwesome list for cryptographic secure computation paper. This repo includes *Lattice*, *DifferentialPrivacy*, *MPC* and also a comprehensive summary for top conferences.
Stars: ✭ 125 (+127.27%)
FSL-MateFSL-Mate: A collection of resources for few-shot learning (FSL).
Stars: ✭ 1,346 (+2347.27%)
unicornnOfficial code for UnICORNN (ICML 2021)
Stars: ✭ 21 (-61.82%)
facerec-bias-bfwSource code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).
Stars: ✭ 40 (-27.27%)
twc-siteSite for Tech Workers Coalition
Stars: ✭ 22 (-60%)
awesome-visual-localization-papersThe relocalization task aims to estimate the 6-DoF pose of a novel (unseen) frame in the coordinate system given by the prior model of the world.
Stars: ✭ 60 (+9.09%)
semi-supervised-NFsCode for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning
Stars: ✭ 23 (-58.18%)
NeuralPullImplementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
Stars: ✭ 149 (+170.91%)
PyPaperBotPyPaperBot is a Python tool for downloading scientific papers using Google Scholar, Crossref, and SciHub.
Stars: ✭ 184 (+234.55%)
Paper-NotesPaper notes in deep learning/machine learning and computer vision
Stars: ✭ 37 (-32.73%)
EgoCNNCode for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)
Stars: ✭ 16 (-70.91%)
Papers4DataAchitectCollect papers for data engineering such as OLTP/OLAP/ETL/DistributedStorage.
Stars: ✭ 17 (-69.09%)