jonkahana
Follow
Stars
SlamKit is an open source tool kit for efficient training of SpeechLMs. It was used for "Slamming: Training a Speech Language Model on One GPU in a Day"
TEAL: New Selection Strategy for Small Buffers in Experience Replay Class Incremental Learning
[NAACL'24] Dataset, code and models for "TableLlama: Towards Open Large Generalist Models for Tables".
Official implementation for "Stable Flow: Vital Layers for Training-Free Image Editing" [CVPR 2025]
Official implementation of "Dataset Size Recovery from LoRA Weights" paper.
Repository for "Attribute First, then Generate: Locally-attributable Grounded Text Generation", ACL 2024
Code release for "Time Series Anomaly Detection by Cumulative Radon Features"
Real-Time Deepfake Detection in the Real-World
Official PyTorch Implementation for the "Model Tree Heritage Recovery" paper.
Official PyTorch Implementation for the "Distilling Datasets Into Less Than One Image" paper.
Official PyTorch Implementation for the "Recovering the Pre-Fine-Tuning Weights of Generative Models" paper (ICML 2024).
Official implementation for "Break-A-Scene: Extracting Multiple Concepts from a Single Image" [SIGGRAPH Asia 2023]
Unofficial implementation of 2D ProlificDreamer
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
A curated list of awesome alfred workflows
Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]
Official repository for "Speaking Style Conversion With Discrete Self-Supervised Units" (EMNLP 2023). https://arxiv.org/abs/2212.09730
Pytorch implementation of the paper: "Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models"
Implementation of the paper Silent Killer
High-Resolution Image Synthesis with Latent Diffusion Models
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)
Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
This is the official implementation of "A Universal Adversarial Policy for Text Classifiers", Neural Networks (2022), https://doi.org/10.1016/j.neunet.2022.06.018