6056 Open source projects that are alternatives of or similar to Clinicalbert

This repository helps you understand python from the scratch.

Stock for Deep Learning and Machine Learning

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

A Python library for integrating model-based and judgmental forecasting

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

Regression, Scrapers, and Visualization

List of papers, code and experiments using deep learning for time series forecasting

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

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

Jupyter-friendly Python interface for C++ MINUIT2

Jupyter/IPython notebooks about evolutionary computation.

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

CME211 Notes | Outline ->

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

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).

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

One-Shot Video Object Segmentation

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

A drop-in replacement for CIFAR-10.

PyTorch implementation of Soft Actor-Critic (SAC)

Code and shared files

Functionalities in Excel translated to Python

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

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

An OCaml kernel for the IPython notebook

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

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

Stacked Generalization (Ensemble Learning)

中文的 tensorflow tutorial with jupyter notebooks

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

✅ Solutions to MachineLearning, DeepLearning, NeuralNetwork

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

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

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

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

Reinforcement Learning with Goals

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

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

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

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

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.

PDFTableExtract

Files for my scikit-learn tutorial at PyCon 2013

Combining Psi4 and Numpy for education and development.

A Jupyter kernel for Stata. Works with Windows, macOS, and Linux.

Material for the pandas tutorial at EuroScipy 2016

Sorting Google Scholar search results based on the number of citations

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

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

DCGAN image generator 🖼️.

A Multipurpose Library for Synthetic Time Series Generation in Python

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

18.330 Introduction to Numerical Analysis

Exercises and solutions to accompany my Safari course introducing TensorFlow.