6075 Open source projects that are alternatives of or similar to Girls In Ai

This is the official repository for the Recommender Systems course at Politecnico di Milano.

Code for each week's short video of Siraj Raval Course on Reinforcement Learning "AI for Video Games"

This is code of book "Learn Deep Learning with PyTorch"

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

Find surprising moves in chess games

Tutorials for the Astropy Project

YoloV3 Implemented in Tensorflow 2.0

Jupyter notebooks for using & learning Keras

Anomaly detection for temporal data using LSTMs

Keras-Tutorials

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)

classifying muffin and cupcake recipes using support vector machines

Algorithms course materials for the Lede program at Columbia Journalism School

Web scrapping and related analytics using Python tools

Data preparation and loader for AMASS

2nd Place Solution 💰🥈

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

Breaking captchas using torch

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

Example code from the book "Deep Learning for the Life Sciences"

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

Kipoi's model zoo API

DGL tutorial in KDD 2019

Python implementations (on jupyter notebook) of algorithms described in the book "PRML"

Run M Files from Python - GNU Octave to Python bridge

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

KDD18 Tutorial: Deep Learning and Natural Language Processing with Apache MXNet (Incubating) Gluon

高速でJuliaを学ぶ入門チュートリアル

This is the code for "Time Series Prediction" By Siraj Raval on Youtube

网易云课堂终于官方发布了吴恩达经过授权的汉化课程-“”深度学习专项课程“”，这是自己做的一些笔记以及代码。下为网易云学习链接

Previous version of eeg-notebooks

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

This repository contains Ipython notebooks of assignments and tutorials used in the course introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera

📒 notebook

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

PyTorch implementation of Soft Actor-Critic (SAC)

U-Net implementation in Tensorflow

mpld3 provides a custom stand-alone javascript library built on D3, which parses JSON representations of plots. The mpld3 python module provides a set of routines which parses matplotlib plots (using the mplexporter framework) and outputs the JSON description readable by mpld3.js.

http://nlp.seas.harvard.edu/2018/04/03/attention.html

A wrapper of the COCOeval class for extended keypoint error estimation analysis.

An OCaml kernel for Jupyter (IPython) notebook

验证码识别

Proving Ground: Tools for Automated Mathematics

This is the code for "Ethereum Explained" by Siraj Raval on Youtube

An OCaml kernel for the IPython notebook

Jupyter/IPython notebooks about evolutionary computation.

Juliabox continues to run, but this codebase is no longer current.

InfiniteBoost: building infinite ensembles with gradient descent

2017-CCF-BDCI-让AI当法官(初赛)：7th/415 (Top 1.68%)

Package / Module importer for importing code from Jupyter Notebook files (.ipynb)

An independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"

Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch

One-Shot Video Object Segmentation

Reinforcement Learning with Goals