1906 Open source projects that are alternatives of or similar to Top Deep Learning

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

This is an open sourced book on deep learning.

deeplearning.ai , By Andrew Ng, All video link

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

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

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

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

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

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

HDLTex: Hierarchical Deep Learning for Text Classification

Learning to Cluster. A deep clustering strategy.

Deep Reinforcement Learning based Trading Agent for Bitcoin

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

The Official Deep Learning Framework for Route-based Place Recognition

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

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

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

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

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

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

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

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

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Deep learning codes and projects using Python

PyTorch tutorial for learners

TensorFlow and Deep Learning Tutorials

A Neural Networking library based on NumPy only

RMDL: Random Multimodel Deep Learning for Classification

Machine Reading Comprehension in Tensorflow

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

A Natural Language Toolkit for Indian Languages

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

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

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

Rocket powered machine learning. Create, compare, adapt, improve - artificial intelligence at the speed of thought.

Image Captioning: Implementing the Neural Image Caption Generator with python

Deep Learning in Haskell

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

Application of machine learning to the Coinbase (GDAX) orderbook

Perform deep neural network based face detection and recognition in the cloud (via AWS lambda) with zero model configuration or tuning.

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

ConvNets for Audio Recognition using Google Commands Dataset

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

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

The code for the MaD TwinNet. Demo page:

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

Deep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.

Semantic segmentation on iPhone using ESPNetv2

Handwritten digits, a bit like the MNIST dataset.

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

Text classifier for Hierarchical Attention Networks for Document Classification

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

Diabetic retinopathy screening w/ Tensorflow.

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"

CAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.