This is the code of "Multi-view Contrastive Graph Clustering" in NeurlPS 2021.

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Deep LearningMCGC
Overview
COVINS -- A Framework for Collaborative Visual-Inertial SLAM and Multi-Agent 3D Mapping

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Build upon neural radiance fields to create a scene-specific implicit 3D semantic representation, Semantic-NeRF

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Fast convergence of detr with spatially modulated co-attention

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Objax Apache-2Objax (🥉19 · ⭐ 580) - Objax is a machine learning framework that provides an Object.. Apache-2 jax

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Extracts data from the database for a graph-node and stores it in parquet files

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OREO: Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning (NeurIPS 2021)

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(ICCV 2021 Oral) Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation.

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Qlib is an AI-oriented quantitative investment platform

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Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

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Code release for SLIP Self-supervision meets Language-Image Pre-training

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Official PyTorch Implementation for "Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes"

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Unified API to facilitate usage of pre-trained "perceptor" models, a la CLIP

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ivadomed is an integrated framework for medical image analysis with deep learning.

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Keras udrl - Keras implementation of Upside Down Reinforcement Learning

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CSD: Consistency-based Semi-supervised learning for object Detection

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U-Net: Convolutional Networks for Biomedical Image Segmentation

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Information Gain Filtration (IGF) is a method for filtering domain-specific data during language model finetuning. IGF shows significant improvements over baseline fine-tuning without data filtration.

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Computational Methods Course at UdeA. Forked and size reduced from:

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