6112 Open source projects that are alternatives of or similar to Notebook

18.330 Introduction to Numerical Analysis

Simple package that makes your generator work in background thread

借助Python抓取微博数据，并对抓取的数据进行情绪分析

In The Wild 3D Morphable Models

1st Solution for 2019-CIKM-Analyticup, Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation

Fazendo de tamburete as cadeiras de [email protected]

Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)

唐诗，藏头诗，按需自动生成古诗，基于Keras、LSTM-RNN。文档齐全。

This repository contains materials for demos, tutorials, and talks by Dato Inc.

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Remove problematic gender bias from word embeddings.

2nd Place Solution 💰🥈

CME211 Notes | Outline ->

中文的 tensorflow tutorial with jupyter notebooks

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

Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).

✅ Solutions to MachineLearning, DeepLearning, NeuralNetwork

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

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Neural image captioning (NIC) implementation with Keras 2.

Breaking captchas using torch

TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network

ULMFit Language Modeling, Text Feature Extraction and Text Classification in Thai Language. Created as part of pyThaiNLP

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

A day to day plan for this challenge. Covers both theoritical and practical aspects

Source files for "Lectures in Quantitative Economics" -- Python version

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

Kipoi's model zoo API

A drop-in replacement for CIFAR-10.

Materials for a 2-day instructor led course on applying machine learning

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

Functionalities in Excel translated to Python

An Automatic Speech Recognition Frame ，一个中文语音识别的完整框架， 提供了多个模型

PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

Open sourced research notebooks by the QuantConnect team.

This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.

PDFTableExtract

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

Files for my scikit-learn tutorial at PyCon 2013

Combining Psi4 and Numpy for education and development.

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

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

Material for the pandas tutorial at EuroScipy 2016

Sorting Google Scholar search results based on the number of citations

A Multipurpose Library for Synthetic Time Series Generation in Python

Self Driving Car development tools and technologies from GTA Robotics Community members

U-Net implementation in Tensorflow

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

EGG: Emergence of lanGuage in Games

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

Exercises and solutions to accompany my Safari course introducing TensorFlow.

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

quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.

Code material for a data science tutorial

Documentation of all collective action from tech workers.

PyTorch implementation of Soft Actor-Critic (SAC)