114 Open source projects that are alternatives of or similar to Deep-Learning

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

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

Google Colab tutorial with simple network training and Tensorboard.

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

deeplearning.ai , By Andrew Ng, All video link

PyTorch Project Specification.

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

Lets Learn AI

Public reusable components for Polyaxon

Machine Learning notebooks for refreshing concepts.

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)

Seamlessly integrate matplotlib figures as tensorflow summaries.

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

🤖 Implements of Reinforcement Learning algorithms.

Machine Learning Operator & Controller for Kubernetes

📢 Ready to learn or review your knowledge!

Swift high-level API for TensorFlow.

A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

A Toolkit for Training, Tracking, Saving Models and Syncing Results

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

RAD: Reinforcement Learning with Augmented Data

"Arbitrary Style Transfer with Style-Attentional Networks" (CVPR 2019)

Deep learning software for colorizing black and white images with a few clicks.

Enable TensorBoard for TensorFlow Go API

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

🚣 A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

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

RNN-LSTM that learns passwords from a starting list

The deeplearning algorithms implemented by tensorflow

A PyTorch implementation of alpha-GAN

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

Draw and classify digits (0-9) in a browser using machine learning

This repository will contain the example detailed codes of Tensorflow and Keras, This repository will be useful for Deep Learning staters who find difficult to understand the example codes

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

PyTorch implementation of Deformable Convolution

A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Creating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

Various cognitive api for machine learning, vision, language intent alalysis. Covers traditional as well as deep learning model design and training.

TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.

No description or website provided.

A PyTorch Implementation of "Densely Connected Convolutional Networks"

FLOR: Fast Low-Overhead Recovery. FLOR lets you log ML training data post-hoc, with hindsight.

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.