CIFAR-10_train-test - training and testing codes for dataset CIFAR-10

Osborne Mine, Australia - Airborne total-field magnetic anomaly This is a section of a survey acquired in 1990 by the Queensland Government, Australia

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Evaluating AlexNet features at various depths

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《A-CNN: Annularly Convolutional Neural Networks on Point Clouds》(2019)

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Generate text captions for images from their CLIP embeddings. Includes PyTorch model code and example training script.

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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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A unified framework for machine learning with time series

Welcome to sktime A unified framework for machine learning with time series We provide specialized time series algorithms and scikit-learn compatible

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The source code of "SIDE: Center-based Stereo 3D Detector with Structure-aware Instance Depth Estimation", accepted to WACV 2022.

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This is the official Pytorch-version code of FlatGCN (Flattened Graph Convolutional Networks for Recommendation).

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BaseCls BaseCls 是一个基于 MegEngine 的预训练模型库，帮助大家挑选或训练出更适合自己科研或者业务的模型结构

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Code implementing "Improving Deep Learning Interpretability by Saliency Guided Training"

Saliency Guided Training Code implementing "Improving Deep Learning Interpretability by Saliency Guided Training" by Aya Abdelsalam Ismail, Hector Cor

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Official Pytorch implementation of Meta Internal Learning

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tensorflow code for inverse face rendering

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Implementation of the HMAX model of vision in PyTorch

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This library is a location of the LegacyLogger for PyTorch Lightning.

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Faster Convex Lipschitz Regression

Faster Convex Lipschitz Regression This reepository provides a python implementation of our Faster Convex Lipschitz Regression algorithm with GPU and

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Adversarially Learned Inference

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Python scripts form performing stereo depth estimation using the HITNET model in Tensorflow Lite.

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A collection of Jupyter notebooks to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation.

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Consensus score for tripadvisor

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Creating a custom CNN hypertunned architeture for the Fashion MNIST dataset with Python, Keras and Tensorflow.

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