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Pocketflow
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2,553
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Elephas
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1,548
Distributed Deep learning with Keras & Spark
Pgportfolio
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1,386
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
Hyperparameter Optimization Of Machine Learning Algorithms
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1,025
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Powerful Gnns
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762
How Powerful are Graph Neural Networks?
Fastspeech
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723
The Implementation of FastSpeech based on pytorch.
Carefree Learn
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400
Deep Learning ❤️ PyTorch
Attentionwalk
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299
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Teacher Assistant Knowledge Distillation
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157
Using Teacher Assistants to Improve Knowledge Distillation
Hyperdensenet
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106
This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
Deep Quant
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98
Deep learning for forecasting company fundamental data
Hyper Engine
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69
Python library for Bayesian hyper-parameters optimization
Minos
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51
Deep learning, architecture and hyper parameters search with genetic algorithms
Neural Net Optimization
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49
PyTorch implementations of recent optimization algorithms for deep learning.
Denser Models
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47
E2e Learning Self Driving Cars
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39
🚗 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch implementation of "End-to-End Learning for Self-Driving Cars" (arXiv:1604.07316) with Udacity's Simulation env
Dhne
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22
the Implementation of "Structural Deep Embedding for Hyper-Networks"(AAA20I8)
Cosrec
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21
Code for CosRec: 2D Convolutional Neural Networks for Sequential Recommendation (CIKM-19)
Deep Ternary
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18
Source code for the paper "Deep Learning Sparse Ternary Projections For Compressed Sensing of Images"
Learning Rates
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17
How optimizer and learning rate choice affects training performance
Deepsccan
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12
Deep & Sparse CCA for Neuroimaging in Tensorflow
Deep Multi Sensory Object Categorization
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11
Deep Multi-Sensory Object Category Recognition Using Interactive Behavioral Exploration
Neural Matrix Completion
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10
Source code for the paper "Extendable Neural Matrix Completion"
Pytorch Hyperlight
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9
The ML micro-framework built as a thin wrapper around PyTorch-Lightning and Ray Tune frameworks to push the boundaries of simplicity even further.
Dashai
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8
DashAI provides a simple graphical user interface (GUI) that guides users through a step-by-step process through creating, training, and saving a model.
Treewidth Prediction
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8
Prediction of Treewidth using Graph Neural Network, developed as part of PFN summer internship 2019.
Pytorch_fasterrcnn
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7
Fine-Tune Pytorch Faster RCNN for your own task.
Dage
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6
Official TensorFlow implementation for "Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol" [TIP 2021] and "Supervised Domain Adaptation using Graph Embedding" [ICPR 2020]
Deepwaterframework
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6
A Python framework for machine learning model training, hyper-parameter search, configuration management, and result visualization.
Issueslanguagemodel
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6
A Language model trained on a large corpus of GitHub Issues
Startml
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6
R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.
Discrete Matrix Factorization
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6
Source code for the paper "Learning Discrete Matrix Factorization Models"
Ethereum Price Prediction Using Lstm
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5
Capstone project for the course Deep Learning as part of the master Data Science and Society.
Dmflda
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5
A deep learning framework for predicting lncRNA–disease associations
Scalable Hpo Pybay
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5
This repositorty will contain the code and slides for PyBay2020 talk: Scalable Hyper-parameter Optimization using RAPIDS and AWS
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