5921 Open source projects that are alternatives of or similar to Tforce_btc_trader

Support content for my blog

Contains files related to content and project of DSND Term 2

A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations

Getting started with soccer analytics

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

Image Segmentation and Object Detection in Pytorch

Classical Aerodynamics of potential flow using Python and Jupyter Notebooks

Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN) with Pytorch

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

Evaluation of the CNN design choices performance on ImageNet-2012.

Keras documentation, hosted live at keras.io

Object Detection

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Practical assignments of the Deep|Bayes summer school 2019

Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch

Neural Style and MSG-Net

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Search inside YouTube videos using natural language

Data Hacking Project

Shapash makes Machine Learning models transparent and understandable by everyone

Notebooks based on financial machine learning.

Repository containing notebooks of my posts on Medium

Resources for "Introduction to Deep Learning" course.

An introduction to network analysis and applied graph theory using Python and NetworkX

Stuff going through my mind

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

Stock Price Prediction using Machine Learning Techniques

Code for Tensorflow Machine Learning Cookbook

Learn how to responsibly deliver value with ML.

Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.

High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019

Simple tutorials using Google's TensorFlow Framework

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

MLOps examples

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.

Feature exploration for supervised learning

An implementation of WaveNet with fast generation

台湾大学李宏毅老师机器学习

Generative Adversarial Networks implemented in PyTorch and Tensorflow

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

cuGraph - RAPIDS Graph Analytics Library

This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow

A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

A collection of miscellaneous thoughts that aren't on my blog.

中文 Python 笔记

(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

Inference Code for Polygon-RNN++ (CVPR 2018)

Code, data, and instructions for mapping orbits of asteroids in the solar system

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

Lane Finding Project for Self-Driving Car ND

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

Structured data about Panama papers collected from official ICIJ website