8067 Open source projects that are alternatives of or similar to Pytorch Tutorials Examples And Books

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

📓 deepleaning and cv notes.

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deeplearning.ai , By Andrew Ng, All video link

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Combining Psi4 and Numpy for education and development.

This is Andrew NG Coursera Handwritten Notes.

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This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Bio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

Official mirror of https://gitlab.com/lfortran/lfortran. Please submit pull requests (PR) there. Any PR sent here will be closed automatically.

Statistical Rethinking (2nd ed.) with NumPyro

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

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三个月教你从零入门深度学习Tensorflow版配套代码

🧑‍🏫 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, ... 🧠

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

Repository to store sample python programs for python learning

📚 Various cheatsheets in PDF

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A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

Implementation of key concepts of neuralnetwork via numpy

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

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pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

image processing codes to understand algorithm

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

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

Introduction to Deep Learning: Chainer Tutorials

Tutorials for deep learning

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This repository contains notes and projects of Data scientist track from dataquest course work.

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It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

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In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

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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.

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

RAD: Reinforcement Learning with Augmented Data

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Several simple music synthesizers in Python 3. Input from ABC or MIDI files is also supported.

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