Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow

Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks Stable Neural ODE with Lyapunov-Stable Equilibrium

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Web predicts stock prices using Long - Short Term Memory algorithm Give me some start please!!! User interface image: Choose: DayBegin, DayEnd, Stock

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Shape-Adaptive Selection and Measurement for Oriented Object Detection

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Bayesian inference for Permuton-induced Chinese Restaurant Process (NeurIPS2021).

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A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

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Open source implementation of AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing

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Implementation of paper "DCS-Net: Deep Complex Subtractive Neural Network for Monaural Speech Enhancement"

DCS-Net This is the implementation of "DCS-Net: Deep Complex Subtractive Neural Network for Monaural Speech Enhancement" Steps to run the model Edit V

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Using Clinical Drug Representations for Improving Mortality and Length of Stay Predictions

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AdaNet is a lightweight TensorFlow-based framework for automatically learning high-quality models with minimal expert intervention

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PyTorch implementation of CVPR'18 - Perturbative Neural Networks

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RoboDesk A Multi-Task Reinforcement Learning Benchmark

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[BMVC 2021] Official PyTorch Implementation of Self-supervised learning of Image Scale and Orientation Estimation

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This project aims to explore the deployment of Swin-Transformer based on TensorRT, including the test results of FP16 and INT8.

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Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow

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xRBM Library

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Omid Alemi

Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks

Project dự đoán giá cổ phiếu bằng thuật toán LSTM gồm: code train và code demo

Shape-Adaptive Selection and Measurement for Oriented Object Detection

Bayesian inference for Permuton-induced Chinese Restaurant Process (NeurIPS2021).

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Open source implementation of AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing

Implementation of paper "DCS-Net: Deep Complex Subtractive Neural Network for Monaural Speech Enhancement"

Using Clinical Drug Representations for Improving Mortality and Length of Stay Predictions

AdaNet is a lightweight TensorFlow-based framework for automatically learning high-quality models with minimal expert intervention

PyTorch implementation of CVPR'18 - Perturbative Neural Networks

RoboDesk A Multi-Task Reinforcement Learning Benchmark

[BMVC 2021] Official PyTorch Implementation of Self-supervised learning of Image Scale and Orientation Estimation

This project aims to explore the deployment of Swin-Transformer based on TensorRT, including the test results of FP16 and INT8.

An onlinel learning to rank python codebase.

Supervised domain-agnostic prediction framework for probabilistic modelling

Official Repository for our ECCV2020 paper: Imbalanced Continual Learning with Partitioning Reservoir Sampling

Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains

Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning (ICLR 2021)

Normalization Matters in Weakly Supervised Object Localization (ICCV 2021)

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