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

Materials for the "Advanced Scikit-learn" class in the afternoon

This is the hands-on deep learning tutorial series for the 2018/2019 Medical AI course by DeepOncology AI.

🐍 Learn Python and Pandas from the ground up

Enables the use of Stata together with Python via Jupyter (IPython) notebooks.

Run your code in the cloud, with technology so advanced, it feels like magic!

This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.

A library to model multivariate data using copulas.

image processing codes to understand algorithm

Jupyter meets Vim. Vimmer will fall in love.

Tutorial and Examples Jupyter Notebooks for Altair

How to build RNNs and LSTMs from scratch with NumPy.

visualization of CNN in PyTorch

📚 The Open Source Education Initiative – a repository with resources for 60+ engineering subjects. Let's make education more open and accessible! 🚀✨

Images and notebook for camera calibration

The fastai book, published as Jupyter Notebooks

Tencent Social Ads 2017 contest rank 20

next generation slides for Jupyter Notebooks

Object detection and segmentation for a surgery robot using Mask-RCNN on Python 3, Keras, and TensorFlow..

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

How to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.

This is the Code for "Deep Q Learning - The Math of Intelligence #9" By Siraj Raval on Youtube

A replica of the AlphaZero methodology for deep reinforcement learning in Python

iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android

Following repo is the solution to Stock Market Prediction using Neural Networks and Sentiment Analysis

An awesome semantic segmentation model that runs in real time

Links to Russian corpora + Python functions for loading and parsing

Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)

Create interactive textual heat maps for Jupiter notebooks

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

Python library for identifying the peaks and valleys of a time series.

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

Python sample codes for robotics algorithms.

Multiscale Geographically Weighted Regression (MGWR)

🍝 Pastas is an open-source Python framework for the analysis of hydrological time series.

What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.

HandySpark - bringing pandas-like capabilities to Spark dataframes

Programs for stock prediction and evaluation

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

Shifting More Attention to Video Salient Objection Detection, CVPR 2019 (Best paper finalist & Oral)

机器学习&深度学习资料笔记&基本算法实现&资源整理（ML / CV / NLP / DM...）

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

NMT for chinese-english using fairseq

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

COVID-19 Mobility Data Aggregator. Scraper of Google, Apple, Waze and TomTom COVID-19 Mobility Reports🚶🚘🚉

Jupyter notebook server extension to proxy web services.

COMS W4995 Applied Machine Learning - Spring 18

Label line using matplotlib.

这个项目是基于论文YOLO9000: Better, Faster, Stronger的keras（backend：tensorflow）实现

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

Tensorflow implementation of Deepminds dqn with double dueling networks

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

Deploy and scale serverless machine learning app - in 4 steps.

Detecting Pikachu on Android using Tensorflow Object Detection API

[DEPRECATED] 🔊️ Audio with fastaiv1