6058 Open source projects that are alternatives of or similar to Thinking In Tensors Writing In Pytorch

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Implementing Siamese networks with a contrastive loss for similarity learning

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

Important paper implementations for Question Answering using PyTorch

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Github repo with tutorials to fine tune transformers for diff NLP tasks

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

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

Voice Conversion using Cycle GAN's For Non-Parallel Data

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My Attempt(s) In The World Of ML/DL....

Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs

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

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

Kind PyTorch Tutorial for beginners

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

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。

A community run, 5-day PyTorch Deep Learning Bootcamp

PyTorch tutorials A to Z

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

PyTorch tutorial for learners

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Pytorch starter kit for Kaggle competitions

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!

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

pytorch 包教不包会

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

This is code of book "Learn Deep Learning with PyTorch"

Early stopping for PyTorch

Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]

Learn how to use PyTorch to solve some common NLP problems with deep learning.

🔥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

tuyển chọn các tài liệu về công nghệ bằng tiếng Việt

Some example scripts on pytorch

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

University of Washington

practical introduction to pandas and scikit-learn via Kaggle problems - Sept 2014

Traffic Signs Detection and Recognition with Tensorflow

Tensors and differentiable operations (like TensorFlow) in Rust

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

教材对应的源码

Tensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller

TorchXRayVision: A library of chest X-ray datasets and models.

使用Google Colab对Google Drive里面的压缩包进行操作，支持7z和rar以及zip等格式，引擎采用unrar和unzip以及7z

100-Days-Of-ML-Code中文版

Run a Jupyter Notebook to detect, track, and count cars in a video using Maximo Visual Insights (formerly PowerAI Vision) and OpenCV

Released assignments for the Stanford's CS131 course on Computer Vision.

Broccoli - distributed task queues for ESP32 cluster

Multilabel classification for Toxic comments challenge using Bert

Machine Learning Lectures at the European Space Agency (ESA) in 2018

Pretrained bag-of-local-features neural networks

Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson