1247 Open source projects that are alternatives of or similar to Deep Kernel Gp

deeplearning.ai , By Andrew Ng, All video link

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Voice Activity Detection based on Deep Learning & TensorFlow

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

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Computer code collated for use with Artificial Intelligence Engines book by JV Stone

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This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

Fast and Easy Infinite Neural Networks in Python

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

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Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

YOLO for object detection tasks

A general, modular, and programmable architecture search framework

A curated list of awesome Distributed Deep Learning resources.

GPU accelerated Deep Belief Network

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

TensorHub is a library built on top of TensorFlow 2.0 to provide simple, modular and repeatable abstractions to accelerate deep learning research.

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Official PyTorch implementation of paper "A Hybrid Compact Neural Architecture for Visual Place Recognition" by M. Chancán (RA-L & ICRA 2020) https://doi.org/10.1109/LRA.2020.2967324

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Awesome artificial intelligence in cancer diagnostics and oncology

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Lyrics-to-audio-alignement system. Based on Machine Learning Algorithms: Hidden Markov Models with Viterbi forced alignment. The alignment is explicitly aware of durations of musical notes. The phonetic model are classified with MLP Deep Neural Network.

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

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建立你的算法地图：如何高效学习算法；算法工程师：从小白到专家

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Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction

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