Walk with fastai

Overview

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CC BY-NC-SA 4.0

Walk with fastai

What is this project?

Welcome to Walk with fastai! This project was started by me (Zachary Mueller) as a way to collect interesting techniques dotted throughout the fast.ai forums, my own course materials, and the fantastic work of others into one centralized place.

The goal is to have something much more than a "fastai recipe book," where instead authors can explore in-depth into topics involving the usage of the fastai library.

There is a central framework and theme for each super chapter, as you can see in the Table of Contents menu at the top of this screen. Topics are broken down by their super topic, such as:

  • Vision
    • Classification
      • Single Label

These collection of articles can be as simple as showing a few lines of code for a use-case, to as advanced as introducing and explaining a topic.

At the end of the day, I want this site to be a nice resource for folks to look up quickly how to do XYZ technique inside the library, that perhaps isn't 100% integrated or supported in the library's current status.

Owner
Walk with fastai
Home for the Walk with fastai project
Walk with fastai
Causal Imitative Model for Autonomous Driving

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VQMIVC - Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion

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Beyond Image to Depth: Improving Depth Prediction using Echoes (CVPR 2021)

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Entity-Based Knowledge Conflicts in Question Answering.

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YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone

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Official Implementation of "Designing an Encoder for StyleGAN Image Manipulation"

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Official implementation of the Neurips 2021 paper Searching Parameterized AP Loss for Object Detection.

Parameterized AP Loss By Chenxin Tao, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, Jifeng Dai This is the official implementation of the Neurips 2021

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social humanoid robots with GPGPU and IoT

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Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators

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Segmentation models with pretrained backbones. PyTorch.

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Code for the TPAMI paper: "Syntax Customized Video Captioning by Imitating Exemplar Sentences"

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An Implementation of SiameseRPN with Feature Pyramid Networks

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Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"

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《Single Image Reflection Removal Beyond Linearity》(CVPR 2019)

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