6512 Open source projects that are alternatives of or similar to Tensorflow 101

A curated list of dedicated resources and applications

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

PyTorch tutorial for learners

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

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.

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

TensorFlow and Deep Learning Tutorials

a collection of my notes on deep learning

Text to Speech with PyTorch (English and Mongolian)

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

Code examples for training AlexNet using Keras and Theano

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

A Neural Networking library based on NumPy only

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Reproduce CheXNet

CNN image classifier implemented in Keras Notebook 🖼️.

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Learning the Enigma with Recurrent Neural Networks

Important paper implementations for Question Answering using PyTorch

Implementations of some popular Saliency Maps in Keras

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

Detecting cinema shot types using a ResNet-50

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

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

Object classification with CIFAR-10 using transfer learning

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

ECG classification programs based on ML/DL methods

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

Hiding Images within other images using Deep Learning

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

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

Material for the tutorial: "Deep Diving into GANs: from theory to production"

HDLTex: Hierarchical Deep Learning for Text Classification

A machine learning experiment

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

A journey into Convolutional Neural Network visualization

Notebook for my medium article about how to use Dataset API in TensorFlow

YoloV3 Implemented in Tensorflow 2.0

Anomaly detection for temporal data using LSTMs

brain.js is a GPU accelerated library for Neural Networks written in JavaScript.

Build a CNN network to predict 3D bounding box of car from 2D image.

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

CNN image style transfer 🎨.

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

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

Code for Stanford CS224D: deep learning for natural language understanding

Image Tampering Detection using ELA and CNN