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

Few Shot Learning by Siamese Networks, using Keras.

Code for Nature energy manuscript

Bayesian Analysis with Python by Packt

Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.

Developer Cheatsheets

Google2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file

Tensorflow相关教程

Python for engineers

Probabilistic time series modeling in Python

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

DCGAN face generator 🧑.

Scientific analysis of nanoscale materials imaging data

代码记录

homework for CS231n 2017

공공데이터 분석

python code for pratice

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

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

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

An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.

A New, Interactive Approach to Learning Python

A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)

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

Tutorials for Fall 2018

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

本项目对中文版《动手学深度学习》中的代码进行了PyTorch实现并整理为PDF版本供下载

一些爬虫的代码

CS579: Online Social Network Analysis at the Illinois Institute of Technology

PyTorch implementation of SLAYER for training Spiking Neural Networks

A repo for data science related questions and answers

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

Using Keras and cats to visualize layers from CNNs

Notebooks for upcoming fastai book (draft / incomplete)

Sequential regulatory activity predictions with deep convolutional neural networks.

Extending broom for time series forecasting

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.

Code for the book Deep Learning From Scratch, from O'Reilly September 2019

This is a tensorflow re-implementation of Faster R-CNN: Towards Real-Time ObjectDetection with Region Proposal Networks.

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

Conda environment and package management extension from within Jupyter

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

These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.

Home assignments for data science positions

Stereo convolutional neural network for depth map prediction from stereo images

🌎 machine learning tutorials (mainly in Python3)

Supports de formation Deep Learning (diapos et exercices pratiques)

中文商品评论短文本分类器，可用于情感分析

Training a Neural Network to Detect Gestures and Control Smart Home Devices with OpenCV in Python

论文实现(ACL2019)：《Matching the Blanks: Distributional Similarity for Relation Learning》

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.