7478 Open source projects that are alternatives of or similar to Learning Deep Learning

DLTK Model Zoo

Deep Learning Toolkit for Medical Image Analysis

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

PyTorch Implementation of Deformable Convolution

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

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

Dermatology focused medical records software, augmented with computer vision and artificial intelligence [Meteor packaged with Electron]

pytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<

Image Captioning using InceptionV3 and beam search

A neural network that transforms a design mock-up into a static website.

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

Visualising LIDAR data from KITTI dataset.

CNN image style transfer 🎨.

我的强化学习笔记和学习材料📖 still updating ... ...

Reinforcement learning with A* and a deep heuristic

DICOM Adapter is a component of the Clara Deploy SDK which facilitates integration with DICOM compliant systems, enables ingestion of imaging data, helps triggering of jobs with configurable rules and offers pushing the output of jobs to PACS systems.

Machine Learning notebooks for refreshing concepts.

Applying Reinforcement Learning in Quantitative Trading

Stock Trading Bot using Deep Q-Learning

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

Convolutional Neural Network for Human Activity Recognition in Tensorflow

tracking medical datasets, with a focus on medical imaging

Trading with recurrent actor-critic reinforcement learning

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

MTCNN with Motion Detection, on Raspberry Pi with Love

中国象棋alpha zero程序

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Notes and Summaries on ML-related Research Papers (with optional implementations)

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Natural Language Processing with TensorFlow, published by Packt

Deep Reinforcement Learning for de-novo Drug Design

Repo for the Deep Reinforcement Learning Nanodegree program

🧑‍🏫 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, ... 🧠

ENet - A Neural Net Architecture for real time Semantic Segmentation

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)

DICOM Viewer

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

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

DrQ: Data regularized Q

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Pythonで学ぶ強化学習 -入門から実践まで- サンプルコード

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Grokking Deep Reinforcement Learning

RAD: Reinforcement Learning with Augmented Data

[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

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 for most of the code from my YouTube channel

Action recognition using soft attention based deep recurrent neural networks

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

Implementation of Meta-RL A3C algorithm

Reinforcement Learning for Portfolio Management

Deep learning codes and projects using Python

RadIO is a library for data science research of computed tomography imaging

📚 嵌入式系统基础知识与主流编程语言相关内容总结