2597 Open source projects that are alternatives of or similar to Tensorflow Tutorial

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Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Deep learning codes and projects using Python

How to use TensorLayer

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Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Convolutional Neural Network for Human Activity Recognition in Tensorflow

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

Repo for the Deep Reinforcement Learning Nanodegree program

Feeding images of time series to Conv Nets! (Tensorflow + Keras)

The Official Deep Learning Framework for Route-based Place Recognition

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

PyTorch tutorial for learners

TensorFlow Tutorials

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Lab Materials for MIT 6.S191: Introduction to Deep Learning

A High-Quality Real Time Upscaler for Anime Video

Machine Learning notebooks for refreshing concepts.

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

CNN image classifier implemented in Keras Notebook 🖼️.

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

CNN image style transfer 🎨.

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

This toolbox is support material for the book on CNN (http://www.convolution.network).

SincNet is a neural architecture for efficiently processing raw audio samples.

Next RecSys Library

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Top 200 deep learning Github repositories sorted by the number of stars.

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Simple and comprehensive tutorials in TensorFlow

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Grokking Deep Reinforcement Learning

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

A best practice for tensorflow project template architecture.

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

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

🧑‍🏫 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, ... 🧠

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

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

Unity Machine Learning Agents Toolkit

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

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Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

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!

RMDL: Random Multimodel Deep Learning for Classification

This is an open sourced book on deep learning.

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A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

A brand logo detection system using tensorflow object detection API.