A benchmark framework for Tensorflow

Overview

TensorFlow benchmarks

This repository contains various TensorFlow benchmarks. Currently, it consists of two projects:

  1. PerfZero: A benchmark framework for TensorFlow.

  2. scripts/tf_cnn_benchmarks (no longer maintained): The TensorFlow CNN benchmarks contain TensorFlow 1 benchmarks for several convolutional neural networks.

If you want to run TensorFlow models and measure their performance, also consider the TensorFlow Official Models

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation.

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AI Face Mesh: This is a simple face mesh detection program based on Artificial intelligence.

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In this project we combine techniques from neural voice cloning and musical instrument synthesis to achieve good results from as little as 16 seconds of target data.

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PyTorch code for the NAACL 2021 paper "Improving Generation and Evaluation of Visual Stories via Semantic Consistency"

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Official PyTorch implementation of the NeurIPS 2021 paper StyleGAN3

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HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records

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Pytorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

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​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

TextWorld A text-based game generator and extensible sandbox learning environment for training and testing reinforcement learning (RL) agents. Also ch

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A Self-Supervised Contrastive Learning Framework for Aspect Detection

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GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

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Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"

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Dynamic Token Normalization Improves Vision Transformers

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Code for EMNLP2020 long paper: BERT-Attack: Adversarial Attack Against BERT Using BERT

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Neural Magic Eye: Learning to See and Understand the Scene Behind an Autostereogram, arXiv:2012.15692.

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[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation

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