810 Open source projects that are alternatives of or similar to Adventures In Deep Learning

3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)

deeplearning.ai , By Andrew Ng, All video link

A journey into Convolutional Neural Network visualization

This is an open sourced book on deep learning.

Stanford Unsupervised Feature Learning and Deep Learning Tutorial

TensorFlow and Deep Learning Tutorials

CNN image classifier implemented in Keras Notebook 🖼️.

A best practice for tensorflow project template architecture.

a collection of my notes on deep learning

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

ECG classification programs based on ML/DL methods

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

Machine Learning Toolkit for Kubernetes

深度学习教程整理 | 干货

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

Use Transformers and LSTMs to learn Python source code

A Keras Implementation of "A Neural Algorithm of Artistic Style"

Repository for Region Ensemble Network based Hand Pose Estimation

Text to Speech with PyTorch (English and Mongolian)

Artificial neural network classes and tools in Python and TensorFlow.

ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)

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

Curated list: Resources for machine learning in Ruby

Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020

A C++ standalone library for machine learning

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

Data augmentation using synthetic data for time series classification with deep residual networks

dna2vec: Consistent vector representations of variable-length k-mers

[ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895

Open standard for machine learning interoperability

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

Lightwood is Legos for Machine Learning.

Feature Store for Machine Learning

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

PyTorch implementation of LeNet-5 with live visualization

[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

A Neural Networking library based on NumPy only

Experiment tracking for machine and deep learning projects

The MacGraph network. An attempt to get MACnets running on graph knowledge

Implementation of Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) on Pytorch.

Object classification with CIFAR-10 using transfer learning

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

convolutional lstm implementation in pytorch

📚 机器学习基石和机器学习技法作业

ConText v4: Neural networks for text categorization

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

ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch

ROS 2 enabled Machine Learning algorithms

Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

The deeplearning algorithms implemented by tensorflow

Приёмы в машинном обучении

Javascript/WebAssembly deep learning library for MLPs and convolutional neural networks

The repository provides usefull python scripts for ML and data analysis

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

Estimate/count FLOPS for a given neural network using pytorch

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)

This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.