scPCA
scPCA: A toolbox for sparse contrastive principal component analysis in R - Published in JOSS (2020)
cebra
Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
uform
Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️
https://github.com/amazon-science/semimtr-text-recognition
Multimodal Semi-Supervised Learning for Text Recognition (SemiMTR)
https://github.com/amazon-science/contraclm
[ACL 2023] Code for ContraCLM: Contrastive Learning For Causal Language Model
https://github.com/astrazeneca/selfpad
The official implementation of "Improving Antibody Humanness Prediction using Patent Data".
https://github.com/bencardoen/specht.jl
SPECHT is a Julia implementation of a contrastive weakly supervised object detection and identification method for fluorescence microscopy.
https://github.com/astrazeneca/subtab
The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
ctcae
Official code repository for NeurIPS 2023 paper "Contrastive Training of Complex-Valued Autoencoders for Object Discovery"
https://github.com/abrar2652/qcl-mixnet
Quantum-Informed Contrastive Learning with Dynamic Mixup Augmentation for Class-Imbalanced Expert Systems
https://github.com/astrazeneca/ness
Official implementation of "NESS: Node Embeddings from Static Subgraphs"
wordart
The official code of CornerTransformer (ECCV 2022, Oral) on top of MMOCR.
author-profiling-pan2023
Symbol Team model for PAN@AP 2023 shared task on Profiling Cryptocurrency Influencers with Few-shot Learning
https://github.com/andrebola/contrastive-mir-learning
This repo contains the code to reproduce the paper: "Enriched Music Representations with Multiple Cross-modal Contrastive Learning"
https://github.com/alfa-group/claw-sat
[SANER 2023] "CLAWSAT: Towards Both Robust and Accurate Code Models" by Jinghan Jia*, Shashank Srikant*, Tamara Mitrovska, Chuang Gan, Shiyu Chang, Sijia Liu, Una-May O'Reilly
detect-clip-backdoor-samples
[ICLR2025] Detecting Backdoor Samples in Contrastive Language Image Pretraining
https://github.com/amazon-science/contrastive_emc2
Code the ICML 2024 paper: "EMC^2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence"
https://github.com/chris-santiago/scarf
Reproducing the SCARF framework with PyTorch
https://github.com/amazon-science/video-contrastive-learning
Video Contrastive Learning with Global Context, ICCVW 2021
https://github.com/brendel-group/cl-ica
Code for the paper "Contrastive Learning Inverts the Data Generating Process".
https://github.com/cvi-szu/ccam
[CVPR 2022] C2AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation