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A playbook for systematically maximizing the performance of deep learning models.
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
Code for paper "Learning to Reweight Examples for Robust Deep Learning"
For macOS.百度网盘 破解SVIP、下载速度限制~
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！
precision color scheme for multiple applications (terminal, vim, etc.) with both dark/light modes
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI …
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
An annotated implementation of the Transformer paper.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
A TensorFlow Implementation of the Transformer: Attention Is All You Need
Tensorflow implementation of contextualized word representations from bi-directional language models
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
An educational resource to help anyone learn deep reinforcement learning.
Enumerate diverse machine learning training tricks.
TensorFlow code and pre-trained models for BERT
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017
Implementation of Graph Convolutional Networks in TensorFlow
Various tutorials given for welcoming new students at MILA.
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date …
Python Implementation of Reinforcement Learning: An Introduction