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Consistent Amortized Clustering via Generative Flow Networks
RecConv: Efficient Recursive Convolutions for Multi-Frequency Representations
SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images (ECCV 2024)
Trainable Highly-expressive Activation Functions. ECCV 2024
🌳 Python implementation of single-player Monte-Carlo Tree Search.
[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone
Wavelet Convolutions for Large Receptive Fields. ECCV 2024.
"From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models" [Uziel, Dinari, and Freifeld, NeurIPS 2023]
Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
Official PyTorch implementation for our ICML 2023 paper, Regularization-free Diffeomorphic Temporal Alignment Nets.
Official implementation for Wavelet Feature Maps Compression for Image-to-Image CNNs, NeurIPS 2022.
"A Deep Moving-camera Background Model" [Erez, Shapira Weber, and Freifeld, ECCV 2022]
"Revisiting DP-Means: Fast Scalable Algorithms via Parallelism and Delayed Cluster Creation" [Dinari and Freifeld, UAI 2022]
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
"DeepDPM: Deep Clustering With An Unknown Number of Clusters" [Ronen, Finder, and Freifeld, CVPR 2022]
Python wrapper for the DPMMSubClusterStreaming.jl Julia package.
Code for our AISTATS '22 paper "Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data"
Latex code for making neural networks diagrams
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (p…
Bayesian Optimization of Combinatorial Structures
Small tool to explore ImageNet (WordNet) structure.
Small and easily modifiable notebook to extract embeddings from pre trained resnet50
Code for our UAI '20 paper "Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes"
Moving-camera background model (a CVPR '20 paper)