Memory In Memory Networks
It is based on the paper Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics to be presented at CVPR 2019. Official Repo
PyTorch Code of "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics"
Overview
From the basics to slightly more interesting applications of Tensorflow
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Like Dirt-Samples, but cleaned up
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PyTorch Implementation of Realtime Multi-Person Pose Estimation project.
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The repository offers the official implementation of our paper in PyTorch.
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Optimal Adaptive Allocation using Deep Reinforcement Learning in a Dose-Response Study
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A custom DeepStack model for detecting 16 human actions.
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An exploration of log domain "alternative floating point" for hardware ML/AI accelerators.
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Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networks
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Yolov5+SlowFast: Realtime Action Detection Based on PytorchVideo
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CVPR 2021
Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-image Translation [Paper] | [Poster] | [Codes] Yahui Liu1,3, Enver Sangineto1,
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Repositorio oficial del curso IIC2233 Programación Avanzada 🚀✨
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Unofficial implementation of the paper: PonderNet: Learning to Ponder in TensorFlow
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Shuffle Attention for MobileNetV3
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A Keras implementation of CapsNet in the paper: Sara Sabour, Nicholas Frosst, Geoffrey E Hinton. Dynamic Routing Between Capsules
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[NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation
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Official release of MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer axriv: http://arxiv.org/abs/2112.13513
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Source code for models described in the paper "AudioCLIP: Extending CLIP to Image, Text and Audio" (https://arxiv.org/abs/2106.13043)
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Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥
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[ECCVW2020] Robust Long-Term Object Tracking via Improved Discriminative Model Prediction (RLT-DiMP)
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