Pytorch Implementation of popular self-supervised models
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Updated
Dec 6, 2020 - Python
Pytorch Implementation of popular self-supervised models
CNEP (Contrastive Notes Events Pre-training), Contrastive Learning with Clinical Notes and Events Data Pre-training from MIMIC-III
CNN and Contrastive Autoencoder (CAE) on EMNIST using Tensorflow
Source code for ACL 2023 paper "miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings".
Implementation of "Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning" WACV 2023.
Source code for paper on commonsense reasoning for 2020 Annual Conference of the Association for Computational Linguistics (ACL) 2020.
Visualizing how deep networks make decisions
FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
Pretrained SimCLRv2 models in Pytorch
[ICLR2023] Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation (CDCD).
The ParroT framework to enhance and regulate the Translation Abilities during Chat based on open-sourced LLMs (e.g., LLaMA-7b, Bloomz-7b1-mt) and human written translation and evaluation data.
Siamese Network implementation using Pytorch
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