ScapeQin's repositories

autograd

Efficiently computes derivatives of numpy code.

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awesome-model-compression-and-acceleration

a list of awesome papers on deep model ompression and acceleration

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awesome-NAS

A curated list of neural architecture search (NAS) resources.

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awesome-self-supervised-learning

A curated list of awesome Self-Supervised methods

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chineseocr

yolo3+ocr

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CopyTranslator

Foreign paper reading and translation assistant based on copy and translate.(Latest: v0.0.7-Kylin-RC1)

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Dataset_Synthesizer

NVIDIA Deep learning Dataset Synthesizer (NDDS)

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Deep-Neural-Networks-HealthCare

Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More

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Deep-RL-Keras

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

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deep_learning_object_detection

A paper list of object detection using deep learning.

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dnc

Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy

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fritz-models

Train and deploy machine learning models for mobile apps with Fritz.

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gandissect

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

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Generative_Models_Tutorial_with_Demo

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

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Image_Segmentation

pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.

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imutils

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

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lime

Lime: Explaining the predictions of any machine learning classifier

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lucid

A collection of infrastructure and tools for research in neural network interpretability.

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optuna

A hyperparameter optimization framework

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PlotNeuralNet

Latex code for making neural networks diagrams

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pytorch-OpCounter

Count the FLOPs of your PyTorch model.

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pytorch-pretrained-BERT

PyTorch version of Google AI's BERT model with script to load Google's pre-trained models

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regretful-agent

PyTorch code for CVPR 2019 paper: The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation

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stylegan

StyleGAN - Official TensorFlow Implementation

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tagan

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

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tensorflow-class-activation-mapping

Learning Deep Features for Discriminative Localization (2016)

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tensorlayer

Deep Learning and Reinforcement Learning Library for Developers and Scientists

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transformer_image_caption

Image Captioning based on Bottom-Up and Top-Down Attention model

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VideoSuperResolution

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

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