The original implementation of Min et al. "Nonparametric Masked Language Modeling" (paper https//arxiv.org/abs/2212.01349)
Original code for the paper "Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping" by Mezghani et al.
This repo contains documentation and code needed to use PACO dataset: data loaders and training and evaluation scripts for objects, parts, and attributes prediction models, query evaluation scripts, and visualization notebooks.
Official Open Source code for "Scaling Language-Image Pre-training via Masking"
Framework for writing deep learning training loops. Lightweight, and retaining full freedom to design as you see fits. It handles checkpointing, logging, distributed, compatibility with Dora, and more!
FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training
Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"
Code repository for IMU2CLIP(https//arxiv.org/pdf/2210.14395.pdf)
An algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video.
Code for paper: "Privately generating tabular data using language models".
Experiments to reproduce results in Interventional Causal Representation Learning.
The codes reproduce the figures in the paper, "An efficient algorithm for integer lattice reduction." The repo also provides the LaTeX and BibTeX sources required for replicating the paper.
NASRec Weight Sharing Neural Architecture Search for Recommender Systems
Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to efficiently tune RL hyperparameters.
