facebookresearch / cycle_gan_for_complementary_item_recommendations
Research code of Cycle Generative Adversarial Networks for Complementary Item Recommendations.
☆18Updated 2 years ago
Alternatives and similar repositories for cycle_gan_for_complementary_item_recommendations
Users that are interested in cycle_gan_for_complementary_item_recommendations are comparing it to the libraries listed below
Sorting:
- Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch☆37Updated 3 years ago
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 3 years ago
- The implement of LLMTreeRec☆12Updated 5 months ago
- PyTorch Implementation of the paper "MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training"☆23Updated 3 weeks ago
- A dashboard for exploring timm learning rate schedulers☆19Updated 5 months ago
- Minimum Description Length probing for neural network representations☆19Updated 3 months ago
- HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation [ACL 2023]☆14Updated last year
- official repo of AAAI2024 paper Mitigating the Impact of False Negatives in Dense Retrieval with Contrastive Confidence Regularization☆13Updated last year
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆57Updated last year
- A python library for highly configurable transformers - easing model architecture search and experimentation.☆49Updated 3 years ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆50Updated 3 years ago
- My explorations into editing the knowledge and memories of an attention network☆34Updated 2 years ago
- Code for paper: "LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits"☆13Updated 7 months ago
- codebase for the SIMAT dataset and evaluation☆39Updated 3 years ago
- PyTorch implementation of Soft MoE by Google Brain in "From Sparse to Soft Mixtures of Experts" (https://arxiv.org/pdf/2308.00951.pdf)☆72Updated last year
- A package for fine tuning of pretrained NLP transformers using Semi Supervised Learning☆15Updated 3 years ago
- ☆29Updated last year
- Describe the format of image/text datasets☆11Updated 3 years ago
- Unofficially Implements https://arxiv.org/abs/2112.05682 to get Linear Memory Cost on Attention for PyTorch☆12Updated 3 years ago
- Directed masked autoencoders☆14Updated 2 years ago
- ☆37Updated 2 years ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆35Updated 3 years ago
- Official Code for MIMETIC^2☆12Updated 5 months ago
- Source-to-Source Debuggable Derivatives in Pure Python☆15Updated last year
- Local Attention - Flax module for Jax☆21Updated 3 years ago
- Shows how to do parameter ensembling using differential evolution.☆10Updated 3 years ago
- Official repo for the paper "Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models" at N…☆8Updated 3 months ago
- Implementation of Metaformer, but in an autoregressive manner☆24Updated 2 years ago
- Implementation of Spectral State Space Models☆16Updated last year
- Implementation of a holodeck, written in Pytorch☆17Updated last year