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

ML

Implementation of Excitation Backprop in Caffe

All my experiments with AI and ML

Course notes for MIT manipulation class

Bias detection in the news. Back and front end for areyoufakenews.com

AWS Certified Machine Learning - Specialty (MLS-C01)

This library holds a collection of Notebooks and code examples for AWS AI Bootcamps.

bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.

Machine learning with Python tutorial at MSU Data Science 2018

🙄 Difficult algorithm, Simple code.

PRML algorithms implemented in Python

Materials for my scikit-learn tutorial

Introductory Python Series for UC Berkeley's D-Lab

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

深度学习面试汇总，基本知识点的查漏补缺

Deep Markov Models

Darwin Core

Yet another black-box optimization library for Python

Research Methods for Data Science with Python

Real-Time Object Pose Estimation with Pose Interpreter Networks (IROS 2018)

Tools for pen plotting in Python

Docker file for building Gen and Jupyter notebooks for tutorials and case studies

A End to End CNN Model which predicts the steering wheel angle based on the video/image

A collection of materials to help you learn about deep learning

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Face ID recognition with medical masks

PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3

FMA: A Dataset For Music Analysis

攻城狮之家B站视频课程课件合集2，1号仓库https://github.com/JokerJohn/bilibili_notes.git

Tacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.

Course materials and handouts for #100DaysOfCode in Python course

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

Research on Texas Hold'em AI

Multi-turn dialogue baselines written in PyTorch

A use-case focused tutorial for time series forecasting with python

Fined grained classification On Car dataset

Library of Stan Models for Survival Analysis

Montréal Deep Learning Summer School 2016 material

Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.

A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.

[obsolete] Static Widgets for IPython Notebooks

Deep Neural Decision Trees

This is the code for the "How to Make an Image Classifier" - Intro to Deep Learning #6 by Siraj Raval on Youtube

Introduction to Machine Learning, a series of IPython Notebook and accompanying slideshow and video

Jupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.

My IPython Notebooks

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

Useful RadioML Examples

Projecting images to latent space with StyleGAN2.

Documentation and library for decoding omnipod communications.

This is the code for "K-Means Clustering - The Math of Intelligence (Week 3)" By SIraj Raval on Youtube

The repository contains code walkthroughs which introduces Deep Learning in the field of Natural Language Processing.

机器学习、深度学习、自然语言处理、计算机视觉等AI领域相关技术的算法推导及应用