6025 Open source projects that are alternatives of or similar to Deep Learning With Pytorch Chinese

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

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tuyển chọn các tài liệu về công nghệ bằng tiếng Việt

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Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

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Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

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We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!

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Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

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Pytorch starter kit for Kaggle competitions

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This is an open sourced book on deep learning.

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial

Notes and experiments to understand deep learning concepts

IEEE "Invited Talk on Deep Learning" 03/02/2018

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

📢 Ready to learn or review your knowledge!

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Implementing Siamese networks with a contrastive loss for similarity learning

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

PyTorch tutorial for learners

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PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Train a state-of-the-art yolov3 object detector from scratch!

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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A clear, concise, simple yet powerful and efficient API for deep learning.

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These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

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Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Early stopping for PyTorch

验证码识别

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Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge