Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Google Research

A game theoretic approach to explain the output of any machine learning model.

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

COCO API - Dataset @ http://cocodataset.org/

TensorFlow documentation

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

links to conference publications in graph-based deep learning

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

Source code accompanying O'Reilly book: Machine Learning Design Patterns

Machine Learning Journal for Intermediate to Advanced Topics.

Distributed deep learning on Hadoop and Spark clusters.

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (…

Learning Vis Tools: Tutorial materials for Data Visualization course at HKUST

Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"

Code release for WACV 2020, "Optimizing Through Learned Errors for Accurate Sports Field Registration"

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

Explainable Artificial Intelligence through Contextual Importance and Utility

Implementation of the paper Identifying Mislabeled Data using the Area Under the Margin Ranking: https://arxiv.org/pdf/2001.10528v2.pdf