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

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

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Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core

使用两种方法（抽取式Textrank和概要式seq2seq）自动提取文本摘要

COMS W4995 Applied Machine Learning - Spring 18

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Python sample codes for robotics algorithms.

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

Second edition of Springer Book Python for Probability, Statistics, and Machine Learning

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Links to Russian corpora + Python functions for loading and parsing

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

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...）

Course materials for teaching data visualization in Python.

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

Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017

HandySpark - bringing pandas-like capabilities to Spark dataframes

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

Almost Real-time Object Detection using Apple's CoreML and YOLO v1 -

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

(한국어) 텍스트 마이닝을 위한 공부거리들

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

Predict remaining useful life of a component based on historical sensor observations using automated feature engineering

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

Fast Depth Densification for Occlusion-Aware Augmented Reality

This is the code for "Sentiment Analysis - Data Lit #1" by Siraj Raval on Youtube

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

Mish Deep Learning Activation Function for PyTorch / FastAI

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

Pytorch implementation of a StyleGAN encoder. Images to latent space representation.

Learn the pyspark API through pictures and simple examples

Multiscale Geographically Weighted Regression (MGWR)

Jupyter Notebook with Python samples for the Cognitive Services Computer Vision API

Create interactive textual heat maps for Jupiter notebooks

简明 SSD 目标检测模型 keras version（交通标志识别 训练部分见 dev 分支）

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.

<펭귄브로의 3분 딥러닝, 파이토치맛> 예제 코드

⭐️ PyTorch implement of Deeply Supervised Salient Object Detection with Short Connection

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

Programs for stock prediction and evaluation

MINE: Mutual Information Neural Estimation in pytorch (unofficial)

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

Collection of Artificial Intelligence projects.

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

Tutorials for SimFin - Simple financial data for Python

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

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

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

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🐍 Learn Python and Pandas from the ground up

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