6347 Open source projects that are alternatives of or similar to Kalasalingam

Примеры для курса "Программирование глубоких нейронных сетей на Python"

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

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/

📢 Ready to learn or review your knowledge!

CardIO is a library for data science research of heart signals

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Food detection and recommendation with deep learning

Introduction to Deep Neural Networks with Keras and Tensorflow

RAD: Reinforcement Learning with Augmented Data

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

This is a tutorial for PyTorch Geometric on the YooChoose dataset

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

Learn OpenCV : C++ and Python Examples

Simple tutorials using Keras Framework

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

Train a state-of-the-art yolov3 object detector from scratch!

TensorFlow documentation

deeplearning.ai , By Andrew Ng, All video link

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Neural Style and MSG-Net

This is Andrew NG Coursera Handwritten Notes.

验证码识别

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

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.

A clear, concise, simple yet powerful and efficient API for deep learning.

Machine Learning notebooks for refreshing concepts.

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

An implementation of "mixup: Beyond Empirical Risk Minimization"

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

VDSR (CVPR2016) pytorch implementation

Archived - not answering issues

This is an open sourced book on deep learning.

Keras tutorial for beginners (using TF backend)

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

Deep Learning Projects that Build Themselves

https://arxiv.org/abs/1707.00836

3-day dive into deep learning at csc

猫狗大战

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

Action recognition using soft attention based deep recurrent neural networks

Descriptive Deep Learning

List of papers, code and experiments using deep learning for time series forecasting

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

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

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

Building an image classifier using keras

A journey into Convolutional Neural Network visualization

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

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework