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Curated list of open source tooling for data-centric AI on unstructured data.
Created
2023-02-27
34 commits to main branch, last one 7 months ago
A curated (most recent) list of resources for Learning with Noisy Labels
Created
2021-04-14
134 commits to main branch, last one 3 months ago
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
aaai
adaptive
fairness
robustness
data-mining
data-augmentation
graph-augmentation
location-embedding
traffic-forecasting
contrastive-learning
spatio-temporal-data
graph-neural-networks
representation-learning
robust-machine-learning
traffic-flow-prediction
self-supervised-learning
spatio-temporal-prediction
Created
2022-12-02
15 commits to main branch, last one 3 days ago
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
Created
2022-04-13
56 commits to master branch, last one 22 hours ago
pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
Created
2021-04-02
3,575 commits to develop branch, last one 5 days ago
Reading list for adversarial perspective and robustness in deep reinforcement learning.
ai-safety
safe-rlhf
ai-alignment
explainable-rl
responsible-ai
adversarial-attacks
adversarial-policies
machine-learning-safety
robust-machine-learning
deep-reinforcement-learning
meta-reinforcement-learning
safe-reinforcement-learning
adversarial-machine-learning
explainable-machine-learning
reinforcement-learning-safety
robust-reinforcement-learning
multiagent-reinforcement-learning
adversarial-reinforcement-learning
reinforcement-learning-generalization
robust-adversarial-reinforcement-learning
Created
2023-09-08
15 commits to main branch, last one 8 days ago
A repository contains a collection of resources and papers on Imbalance Learning On Graphs
Created
2023-03-15
46 commits to main branch, last one 2 months ago
A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference tim...
Created
2019-08-16
50 commits to master branch, last one about a year ago
Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework
Created
2021-01-16
3 commits to main branch, last one 3 years ago
A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increas...
Created
2022-05-10
40 commits to master branch, last one about a year ago