6027 Open source projects that are alternatives of or similar to Financedatareader

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

Lab Materials for MIT 6.S191: Introduction to Deep Learning

📔 在学院的书架上发现了一本不带脑子就能看懂的书《Python数据挖掘与实战》

Code repository for O'Reilly book

Code for some of my tutorials

Utility functions for handling MIDI data in a nice/intuitive way.

A self driving toy car using end-to-end learning

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Feature Pyramid Networks for Object Detection

Deep Learning Specialization by Andrew Ng on Coursera.

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。

Reference deployment of JupyterHub with docker

A few notebooks about deep learning in pytorch

What would you say if I told you there is a app on the market that tell you if you have a hotdog or not a hotdog.

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

A course in reinforcement learning in the wild

Simple XLNet implementation with Pytorch Wrapper

Image augmentation library in Python for machine learning.

Apache Airflow tutorial

GNU Radio decoders for several Amateur satellites

Medical Q&A with Deep Language Models

Fruits-360: A dataset of images containing fruits and vegetables

Some ipython notebooks implementing AI algorithms

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

Practical Examples for RNNs in Tensorflow

pytorch version of spatial transformer networks

Pangeo website + discussion of general issues related to the project.

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics

How to do Bayesian statistical modelling using numpy and PyMC3

A couple of simple GANs in Keras

A collection of Bayesian data analysis recipes using PyMC3

My Machine Learning blog

Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

🕵️‍♀️ 监视我的手机：数据都去哪儿了？

用户贷款风险预测

TensorFlow documentation

Jupyter notebooks for learning how to use SimpleITK

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

Example code for the Siggraph Asia Tutorial CreativeAI

Welcome to the one point community-driven encyclopedia for anything in technology.

Native Python WFDB package

该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。

Book and code for Think Complexity, 2nd edition

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure

Open Machine Learning course at MIPT

Completed the CS231n 2017 spring assignments from Stanford university

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Set of scripts and notebooks used to produce results visible in RecipeNLG paper

This is the code for "Make Money with Tensorflow 2.0" by Siraj Raval

Computations and statistics on manifolds with geometric structures.

Code base for the Learning PySpark book (in preparation)

【运筹OR帷幄|数据科学】pandas教程系列电子书

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.