6259 Open source projects that are alternatives of or similar to Getting Started With Google Bert

Unofficial implementation of StyleGAN2 using TensorFlow 2.x.

Some research experiments

Machine learning with Python tutorial at MSU Data Science 2018

a public domain dataset of EEG recordings for music imagery information retrieval

Python Data Analysis Cookbook, published by Packt

Keep your skills sharp by implementing basic algorithms and data structures

🙄 Difficult algorithm, Simple code.

Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python

This is the code for the "How to do Object Detection with OpenCV" live session by Siraj Raval on Youtube

Converting a pretrained pytorch model to tensorflow

PRML algorithms implemented in Python

Advanced Data Structures Implementation

利用python进行财务分析

Deep Learning Specialization by Andrew Ng on Coursera.

PyTorch implementation of residual gated graph ConvNets, ICLR’18

Implementation and evaluation of different approaches to get uncertainty in neural networks

Code for computing interpolating / approximating thin plate splines.

Materials for my scikit-learn tutorial

A PyTorch implementation of "WaveFlow: A Compact Flow-based Model for Raw Audio"

Implementing a Neural Network from Scratch

Authors' implementation of DeepSpeech Distances.

Introductory Python Series for UC Berkeley's D-Lab

Set of Jupyter Notebooks, along with datafiles, to get started with Scientific Computing in Astronomy

Notebooks for learning about object motion and localization methods in the last section of CVND.

CapsNet (from "Dynamic Routing Between Capsules") implemented in pytorch.

All Kaggle competitions

Genetic algorithm tutorial for Python

Anything can happen in the next half hour (including spectral timing made easy)!

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

Home Assistant custom component for using Deepstack face recognition

This repository contains supporting examples which are referenced from posts published on www.quantandfinancial.com

深度学习面试汇总，基本知识点的查漏补缺

Unofficial PyTorch implementation of 2D Attentional Irregular Scene Text Recognizer

Text Generation Using A Variational Autoencoder

Deep Markov Models

Deep Learning with PyTorch Quick Start Guide, published by Packt

使用 tensorflow eager execution 的机器学习全新教程

Darwin Core

Machine learning and process automation

Supporting infrastructure to run scientific experiments without a scientific workflow management system.

Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]

Yet another black-box optimization library for Python

bash script to install Artifical Images materials

Brazilian-Portuguese word list and instructions booklet for Diceware

Notebooks para comenzar desde cero en data science (en español)

Research Methods for Data Science with Python

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

Facial Expression Recognition with a deep neural network as a PyPI package

A companion code for my Medium post

Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics

Master gradient-based machine learning. Also secretly a JAX course in disguise!

Keras implementation of GradCAM.

NJU Master Course **Big Data Mining and Analysis**

Hadoop, Spark and Storm based anomaly detection implementations for data quality, cyber security, fraud detection etc.

This is the code for "How to Generate Art - Intro to Deep Learning #8' by Siraj Raval on YouTube