6771 Open source projects that are alternatives of or similar to Full Stack Data Science

Repositório para armazenamento de código e notebooks de postagens do blog e cursos.

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Decentralized Machine Learning Client

A toolkit to learn how to model and interpret regulatory sequence data using deep learning.

Oxford Deep NLP 2017 course - Practical 1: word2vec

Exploration of methods for coloring t-SNE.

책) 파이썬으로 데이터 주무르기 - 소스코드 및 데이터 공개

Traffic Graph Convolutional Recurrent Neural Network

Multi-Graph Convolutional Neural Networks

Stock price prediction with recurrent neural network. The data is from the Chinese stock.

This trading-gym is the first trading for agent to train with episode of short term trading itself.

Intro to deep learning for medical imaging lesson, by MD.ai

Go binding for TensorFlow Lite

State-of-the-Art Language Modeling and Text Classification in Hindi Language

Python for Finance Cookbook, published by Packt

18.S096 three-week course at MIT

机器学习算法 基于西瓜书以及《统计学习方法》，当然包括DL。

Wi-Fi Geolocation Spoofing with the ESP8266

PyTorch Implementation of Deformable Convolution

Jupyter notebooks associated with the Algorithms for Optimization textbook

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

A framework for blind denoising with self-supervision.

Library extending Jupyter notebooks to integrate with Apache TinkerPop and RDF SPARQL.

A collection of tools to collect and download various data.

Visualisation tool for CNNs in pytorch

Ray tutorials from Anyscale

Python code for the fast bilateral solver

Auto-ReID and Other Person Re-Identification Projects

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.

Machine Learning notebooks for refreshing concepts.

Automatic image captioning model based on Caffe, using features from bottom-up attention.

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

Text detection model that combines Retinanet with textboxes++ for OCR

Codes related to various ML Hackathons

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

Exercises for the Analysis of Knowledge Graphs

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

Scripts and code examples. Includes Spark notes, Jupyter notebook examples for Spark, Impala and Oracle.

Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection

Implementation of Deep Deterministic Policy Gradients using TensorFlow and OpenAI Gym

A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)

Support for jupyter notebook templates in jupyterlab

A repo for new open source contributors to begin with open source contribution. Contribute and earn awesome swags.

CNN image style transfer 🎨.

Repository for coursera specialization Applied Data Science with Python by University of Michigan

Some code examples gathered during my Month of Julia.

A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras.

Categorical Query Language IDE

A Pytorch Computer Vision template to quick start your next project! 🚀🚀

exercise for nndl

Material for my Relay Workshop

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

Simplified implementations of deep learning related works

Auxiliary Classifier Generative Adversarial Networks in Keras

Convert human motion from video to .bvh