5921 Open source projects that are alternatives of or similar to Deep Learning With Python Notebooks

蚂蚁学Python，微信公众号的代码仓库

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Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"

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Tutorials for deep learning course here:

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TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

OLD REPO - PLEASE USE fastai/fastai

A pytorch implementation of MINE(Mutual Information Neural Estimation)

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Content, Code & Resources for WWCodeDataScience Events https://www.womenwhocode.com/datascience

AI assisted motion detection for Home Assistant

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

Curso de Datos Abiertos y Hacking Cívico, habilitando las capacidades de la ciudadanía y los servidores públicos en el uso de datos abiertos.

Contains files for the deep learning in genomics primer.

Use CNN to detect nodules in LIDC dataset.

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Transformer OCR

ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy

StructureNet: Hierarchical Graph Networks for 3D Shape Generation

This Python library makes it easy to display images and videos in a notebook.

This is the code for the "How to Make Word Vectors from Game of Thrones (LIVE) " Siraj Raval on Youtube

Scripts and data for various Vox Media stories and news projects

Notebooks using the Hugging Face libraries 🤗

Stuff I uploaded to share online or to access from a different machine

A game theoretic approach to explain the output of any machine learning model.

Transfer Learning Shootout for PyTorch's model zoo (torchvision)

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Activity Recognition from 2D pose using an LSTM RNN

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An implementation of a sequence to sequence neural network using an encoder-decoder

Continual Learning tutorials and demo running on Google Colaboratory.

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31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

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TLM Monthly Projects. Join our slack to work on them.

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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Code for a convolutional autoencoder written on python, theano, lasagne, nolearn

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