Popular GitHub Repositories for Biased Seed Mappings

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

Providing reproducibility in deep learning frameworks

[ECCV'22 Oral] Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

Neural networks for guitar amp/pedal emulation on Daisy Seed

Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble

List of references about Machine Learning bias and ethics

OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)

这是一个 ChatTTS 音频仓库，包含用不同 seed 生成的不同音色，你可以方便地挑选你喜欢的 seed。

[ICLR 2025?] Official implementation for paper "ET-SEED: Efficient Trajectory-Level SE(3) Equivariant Diffusion Policy".

OpenANE: the first Open source framework specialized in Attributed Network Embedding. The related paper was accepted by Neurocomputing. https://doi.org/10.1016/j.neucom.2020.05.080

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

An Industry Evaluation of Embedding-based Entity Alignment @ COLING'20

Official PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation"

Official code of "Discover the Unknown Biased Attribute of an Image Classifier" (ICCV 2021)

LM pretraining for generation, reading list, resources, conference mappings.

Emotion Recognition using ML methods on the SEED dataset

Read the EXIF metadata (tEXT, IDAT) and discover the prompt, seed and more of AI images generated using AUTOMATIC1111, InvokeAI or NMKD. Supports .png and .jpeg

(ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"

General-Purpose Reinforcement Learning