5973 Open source projects that are alternatives of or similar to Python_autocomplete

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

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

Примеры для курса "Программирование глубоких нейронных сетей на Python"

Notes and experiments to understand deep learning concepts

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

The implementation of Relativistic average GAN with Keras

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/

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Machine Learning notebooks for refreshing concepts.

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

🧑‍🏫 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, ... 🧠

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

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

The deeplearning algorithms implemented by tensorflow

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。

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

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.

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.

A journey into Convolutional Neural Network visualization

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。

📢 Ready to learn or review your knowledge!

a collection of my notes on deep learning

Model zoo for genomics

Modelos Probabilísticos de Señales y Sistemas

CSCI 599 deep learning and its applications final project

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.

PyRoss: inference, forecasts, and optimised control of epidemiological models in Python - http://pyross.readthedocs.io

Repo for publishing code Samples and CLI samples for BatchAI service

Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforcement Learning, Computer Vision).

keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS

Generate captions for an image using PyTorch

Codes and experiments while learning and exploring deep learning for personal curiosity by doing online courses, personal projects and work.

A step-by-step guide to get started with Applied Machine Learning

MagFace: A Universal Representation for Face Recognition and Quality Assessment

机器学习基本模型算法介绍(附加案例)

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

Code, data, and instructions to map every star you can see from Earth

Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

Quantitative research and educational materials

Jupyter notebook and datasets from the pandas Q&A video series

📓 Happy Campus Life

Dual LSTM Encoder for Dialog Response Generation

Getting recommendations from natural language

Code, Notebooks and Examples from Practical Business Python

This is a mxnet version of Realtime_Multi-Person_Pose_Estimation, origin code is here https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation

Published by Packt

Recommender System Framework

从零开始学习YOLOv3教程解读代码+注意力模块(SE,SPP,RFB etc)

Repository with material for the Limperg Python course by Ties de Kok.

Scikit-Learn tutorials

A collection of interactive lecture notes and assignments in Jupyter notebook format.

Collection of Jupyter Notebooks about Python programming

DePy 2015 Talk