1611 Open source projects that are alternatives of or similar to Easy Tensorflow

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

A curated list of dedicated resources and applications

TensorFlow and Deep Learning Tutorials

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

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

Deep learning codes and projects using Python

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

HDLTex: Hierarchical Deep Learning for Text Classification

keras project that parses and analyze english resumes

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

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

Some of the ML and DL related reading materials, research papers that I've read

Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.

A Neural Networking library based on NumPy only

ECG classification programs based on ML/DL methods

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

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Repository for most of the code from my YouTube channel

Reinforcement Learning for Portfolio Management

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

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

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

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

Best Practices, code samples, and documentation for Computer Vision.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

🙄 Difficult algorithm, Simple code.

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

PyTorch tutorial for learners

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

R interface to the keras library

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.

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

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

videos, lectures, blogs for Deep Learning

Deep-Learning Model Exploration and Development for NLP

TensorFlow Tutorials

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

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

A binary library for very fast face detection using compact CNNs.

A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking

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

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

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

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

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

A photo OCR project aims to output DMS messages contained in sign structure images.

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

Be Driven 🚘

Weakly Supervised Deep Detection Networks (CVPR 2016)

Accelerated deep learning R&D

Biologically-realistic recurrent convolutional neural networks

Text Classification Algorithms: A Survey

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

Velocity in deep-learning research