State-of-the-Art in NLP: There’s so much going on in NLP with Transformers, Transfer Learning, Pre-Trained Language Models, Deep NLP… it’s really difficult to keep up… ELMo, ULMFiT, BERT …
Here’s the latest presentation on BERT by Jacob its ‘creator’ @Google AI
I suggest you check out the latest materials from the 2 courses below too:
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The Multi-Armed Bandit Problem and Its Solutions
How to Build Auto Machine Learning from Scratch
Why Are Machine Learning Projects So Hard to Manage?
Transfer Learning for Natural Language Generation
Fast, Scalable Gradient Boosting on Decision Trees in Python, R, C++
Introducing Uber’s Ludwig: A Code-free Deep Learning Toolbox
Python, R & Scala Challenges: Why Swift for Tensorflow ML
New Trends in Large, Generalized, Pre-Trained Language Models
Facebook’s New, SotA Predictive Model for Grid Mapping
Limitations of Deep Learning for Vision: How We Might Fix Them
Spektral - Build Graph Neural Networks on Top of Keras
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
Open Source, Version Control System for Machine Learning Projects
A C++ Framework for Realtime Machine Learning
DeepTrainer - An Open Source C++ Library for Deep Learning
A C++ Implementation of K-Means & KNN on MNIST DataSet
Modelling Time Series Unexpected Shocks w/ Kalman Filters
Clustering Multiple Time-series Data Streams
Hyper-parameter Optimisation: Sobol Sequence vs. Uniform Random
Tutorial: GeoStatistics in Julia
Travelling Salesman Problem for 200K Cities
Optimised Directed & Undirected Graphs in Julia
AI Sytems: Foundations for AI Minds
Deep Learning in Clojure from Scratch: Why Bother?
Blockchains as Information Systems with Clojure
Automate ML Workflows w/ Scala & Spark at Massive Scale
Structured Deep Learning w/ Probabilistic Neural Programs
High Performance Functional Bayesian Inference in Scala
Quick, Flexible Visual Representations of Large Datasets
How The BBC Visual & Data Journalism Team Works w/ Graphics
A New, Scalable, Multivariate Graph Visualization Technique
Cloud Coding Simplified: A Berkeley View on Serverless Computing
Serverless Data Ingestion into Google BigQuery
Designing Data Intensive Apps & Scalable Systems [pdf, 559 pages]
Blockchain ETL - Making Blockchain Data Easy to Access
A Powerful Framework for Developing & Deploying DApps
A Demo of a Passenger Journey in Blockchain
Overview: Edge TPU Devices for Embedded Machine Learning
What’s Wrong with the Raspberry Pi
Build Your Own Dial Up Server with Linux Devices
A Guiding Principle for Causal Decision Problems
Browse State-of-the-Art ML Papers with Code & Datasets
Learning and Evaluating General Linguistic Intelligence
Bubble Sort: An Archaeological Algorithmic Analysis
Optimized Brewery Road Trip with Genetic Algorithm
Hashing for Large Scale Similarity
[free book] Modern Robotics, Cambridge Uni (pdf, 617 pages)
Deep Learning for Robotics - Current Research Topics
Real-time, 6DoF Perception & Navigation for Commercial Drones
Deep Learning UC Berkeley, 2019 - 28 Video Courses
Transfer Learning: Understanding ULMFIT Building Blocks
Practical Deep Learning for Coders v3, 2019
Munchron - AI for Detecting Medical Conditions from Images
Behavox - 1st-ever AI-based Behavioral OS for Financial Services
Skyline- Real Estate Investment Meets AI
GQA Dataset - 20 Million Questions on Real-world Images
Google Natural Questions Dataset
Hotels-50K: A Global Hotel Recognition Dataset
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Curated by Carlos @ds_ldn in the middle of the night.