533 Open source projects that are alternatives of or similar to Numpydl

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deeplearning.ai , By Andrew Ng, All video link

Lets Learn AI

RAD: Reinforcement Learning with Augmented Data

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

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)

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

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"

Machine Learning notebooks for refreshing concepts.

🍃 Using a Neural Network to improve web accessibility in JavaScript.

This is an open sourced book on deep learning.

machine learning and deep learning tutorials, articles and other resources

Descriptive Deep Learning

IEEE "Invited Talk on Deep Learning" 03/02/2018

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

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).

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

Примеры для курса "Программирование глубоких нейронных сетей на Python"

【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

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

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

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

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

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

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

The deeplearning algorithms implemented by tensorflow

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

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

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!

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

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

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

The first public PyTorch implementation of Attentive Recurrent Comparators

A Compositional Object-Based Approach to Learning Physical Dynamics

Page to PAGE Layout Analysis Tool

Video embeddings for retrieval with natural language queries

Caffe2 implementation of Open Neural Network Exchange (ONNX)

A sign language interpreter using live video feed from the camera.

Code for the paper "Learning Differential Equations that are Easy to Solve"

An Engine-Agnostic Deep Learning Framework in Java

Using temporal convolution to detect Audio Deepfakes

pix2code: Generating Code from a Graphical User Interface Screenshot

NVIDIA DeepStream SDK 5.1 configuration for YOLO models

Batch normalization fusion for PyTorch

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

A curated list of awesome deep learning applications in the field of neurological image analysis

Hand-gesture recognition on iOS app using CoreML

Udacity Self-Driving Car Engineer Nanodegree projects.

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

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

Learning Chinese Character style with conditional GAN

SHAInet - a pure Crystal machine learning library

深度学习论文阅读路线图

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

StarNet

Fast inference engine for OpenNMT models

Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)

Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)

Deep Learning with TensorFlow by Packt