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

RMDL: Random Multimodel Deep Learning for Classification

Text classifier for Hierarchical Attention Networks for Document Classification

This is an open sourced book on deep learning.

A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.

Biologically-realistic recurrent convolutional neural networks

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

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

keras project that parses and analyze english resumes

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".

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

Reinforcement Learning for Portfolio Management

Accelerated deep learning R&D

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

PyTorch tutorial for learners

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

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

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

Velocity in deep-learning research

Matlab code for the paper "A survey of orthogonal moments for image representation: Theory, implementation, and evaluation"

Machine learning algorithms for many-body quantum systems

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

No description or website provided.

YOLO Object detection with OpenCV and Python.

📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)

(arXiv:1509.06664) Reasoning about Entailment with Neural Attention.

Liquid State Machines in Python and NEST

[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

The most powerful and customizable binary pattern scanner

This is a STORN (Stochastical Recurrent Neural Network) implementation for keras!

Dream to Control: Learning Behaviors by Latent Imagination

convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

Keras Implementation and Experiments with Deep Recurrent Neural Networks for Source Separation

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

This repo provides projects on deep-learning mainly using Tensorflow 2.0

A Python-Tensorflow neural network for classifying cancer data

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Neural Network for HFT-trading [experimental]

Deep Learning using Rectified Linear Units (ReLU)

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets

CROHME dataset extractor for OFFLINE-text-recognition task.

A simple open domain generative based chatbot based on Recurrent Neural Networks

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.

Open-source and modular toolbox for quantitative soundscape analysis in Python

Entirety.ai Intuition to Implementation Meetup Content.

💬 Recurrent neural network -- generates messages in your style of speech! Trained on imessage data. Sqlite3, TensorFlow, Flask, Twilio SMS, AWS.

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

Implement Differentiable Architecture Search (DARTS) for RNN with fastai

NMA deep learning course

tensorflow implementation of Grad-CAM (CNN visualization)

Computer-generated poetry

NeuroAI-UW seminar, a regular weekly seminar for the UW community, organized by NeuroAI Shlizerman Lab.

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

Sequence Segmentation using Joint RNN and Structured Prediction Models (ICASSP 2017)