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

Contains files for the deep learning in genomics primer.

Introduction to Geospatial Data with Python

Use CNN to detect nodules in LIDC dataset.

Jupyter notebooks on time series econometrics topics.

A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Kaggle problem solving

Deformable Convolutional Networks on caffe

MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.

Collection of Python Scripts for my YouTube channel

Transformer OCR

market cap datasets (1995~2021 daily, 10 million+ rows)

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

StructureNet: Hierarchical Graph Networks for 3D Shape Generation

Portfolio Theory, Options Theory, & Quant Finance

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

Simplest and fastest image and text annotation tool.

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

Python script (and IPython notebook) to perform RFM analysis from customer purchase history data

Scripts and data for various Vox Media stories and news projects

No description, website, or topics provided.

Notebooks using the Hugging Face libraries 🤗

TensorFlow for absolute beginners: a 3-hour codelab for self-learning neural network basics without hard math.

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

基于U-Net检测卫星图像上的新增建筑

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

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

⌨️ A curated list of awesome tools, demos and resources to go beyond LaTeX

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

A journey into Convolutional Neural Network visualization

Activity Recognition from 2D pose using an LSTM RNN

Simulation-based inference in PyTorch

Classifying White Blood Cells with CNNs

A simple tool for a simple task: remove filler sounds ("ehm") from pre-recorded speeches. AI powered.

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

A deep learning framework for synthesizing novel views of objects and scenes

Continual Learning tutorials and demo running on Google Colaboratory.

Replika.ai Research Papers, Posters, Slides & Datasets

🕵️‍♂️ Interpreting Convolutional Neural Network (CNN) Results.

Implementation of Model-Agnostic Meta-Learning (MAML) in Jax

Technical Analysis Library using Pandas and Numpy

Powering Amazon custom machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services

Show notes, slides, and samples from the CSharp with CSharpFritz show

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.

A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API

Deformable Style Transfer (ECCV 2020)

Blog posts for matatat.org

A PyTorch library for two-sample tests

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

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。

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

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

Building Agents with Imagination: pytorch step-by-step implementation

Code to reproduce the results from the paper "Controlling Perceptual Factors in Neural Style Transfer" (https://arxiv.org/abs/1611.07865).