5988 Open source projects that are alternatives of or similar to Imagecompletion Dcgan

Books Papers, Courses & more I have to learn soon

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

在人工智能、机器视觉、高精度导航定位和多传感器融合等技术的助推下，众多行业迎来了前所未有的发展机遇，人工智能+无人机（AI+UAV）正是一个具有无限想象力的应用方向。

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Important paper implementations for Question Answering using PyTorch

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

Content for architecting a data science platform for products using Luigi, Spark & Flask.

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).

A high performance implementation of HDBSCAN clustering.

The Art of Literary Text Analysis

AI Toolkit for Azure IoT Edge

SQLCell is a magic function for the Jupyter Notebook that executes raw, parallel, parameterized SQL queries with the ability to accept Python values as parameters and assign output data to Python variables while concurrently running Python code. And *much* more.

A Quick Look generator for Jupyter/IPython notebooks without further dependencies

A citation recommendation system that allows users to find relevant citations for their paper drafts. The tool is backed by Semantic Scholar's OpenCorpus dataset.

Predicting house prices using Linear Regression and GBR

This is the code for "Recurrent Neural Networks - The Math of Intelligence (Week 5)" By Siraj Raval on Youtube

Principles and Techniques of Data Science, the textbook for Data 100 at UC Berkeley

Template for nbdev projects

Regularized Losses (rloss) for Weakly-supervised CNN Segmentation

code for py-R-FCN-multiGPU maintained by bupt-priv

Repositorio del Curso de Machine Learning de la A a la Z con R y Python

Notebook for my medium article about how to use Dataset API in TensorFlow

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

Developer Cheatsheets

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

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

pyiron - an integrated development environment (IDE) for computational materials science.

Python for engineers

Tensorflow implementation of Deepminds dqn with double dueling networks

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

cell detection in calcium imaging recordings

Scientific analysis of nanoscale materials imaging data

An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks. Work in progress.

homework for CS231n 2017

Open source notebooks to create state-of-the-art detection, segmentation, & classification of buildings on drone/aerial imagery with deep learning

python code for pratice

Based on "Image Quilting for Texture Synthesis and Transfer" and "Real-Time Texture Synthesis by Patch-Based Sampling" papers

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

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.

Tutorials on Julia topics

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

python100天学习资料

Tutorials for Fall 2018

a bot that generates realistic replies using a combination of pretrained GPT-2 and BERT models

Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019

🎓 Введение в машинное обучение. Курс от ВШЭ и ШАД на coursera.org

Julia Project web site (Old)

Tencent Social Ads 2017 contest rank 20

A collection of Pyomo examples

Tools for Sensor Fusion processing.

DCGAN implementation by TensorFlow

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

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

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

A library to model multivariate data using copulas.