6277 Open source projects that are alternatives of or similar to Asap

Tensorflow相关教程

Probabilistic time series modeling in Python

Updated repository

代码记录

공공데이터 분석

https://www.udemy.com/python-for-finance-and-trading-algorithms/

A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"

A New, Interactive Approach to Learning Python

Office Automation by Using Pythonf (For Excel, Word, PPT and PDF .....)

Implementation code for the paper "Generating Natural Language Adversarial Examples"

Introduction to Deep Learning for Image Recognition

Here lies all the exercises I implement and share in my website

一些爬虫的代码

PyTorch implementation of SLAYER for training Spiking Neural Networks

Notebooks for upcoming fastai book (draft / incomplete)

📖 Worked Solutions of "Data Structures & Algorithms in Python", written by Michael T. Goodrich, Roberto Tamassia and Michael H. Goldwasser. ✏️

Open source person re-identification in Pytorch

SciPy 2017 Pandas Tutorial

Sequential regulatory activity predictions with deep convolutional neural networks.

Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.

Hurst exponent evaluation and R/S-analysis in Python

Reading notes on the excellent "Designing Data-Intensive Applications"

A list of pretrained Transformer models for the Russian language.

Deep Learning Application Examples

How to do Real Time Trigger Word Detection with Keras | DLology

Home assignments for data science positions

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

Jupyter Notebooks used on my DataScience projects

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

Julia Project web site (Old)

Exercises and supplementary material for the deep learning course 02456 using PyTorch.

One-shot Learning and deep face recognition notebooks and workshop materials

A collection of Pyomo examples

Accompanying code for the Medium article

DEPRECATED 尝试使用中文文本训练RNN来产生中文小说。（No longer under maintanance.）

Chapterwise code available in the book

SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

Tools for Sensor Fusion processing.

🧪 📗 Unit test your Jupyter Notebooks the right way

A Colab For Bug Hunting!

Source code to accompany my paper "Poetic sound similarity vectors using phonetic features"

Deep Learning tutorials in jupyter notebooks.

Chess reinforcement learning by AlphaGo Zero methods.

Various math-related things in Python code

基于v2版本的deeplab,使用VGG16模型，在VOC2012，Pascal-context，NYU-v2等多个数据集上进行训练

An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)

A real time optical flow algorithm implemented on GPU

🇰🇷PyTorch에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean🇰🇷)

Segmentation-Aware Convolutional Networks Using Local Attention Masks

Python/Jupyter notebooks for Volume 1 of "Deep Learning - From Basics to Practice" by Andrew Glassner

To make it easy to benchmark AI accelerators

Main code for Parcels (Probably A Really Computationally Efficient Lagrangian Simulator)

python，机器学习笔记，machine learning，nlp

Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs

Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.

Few Shot Learning by Siamese Networks, using Keras.