FSL-Mate: A collection of resources for few-shot learning (FSL).

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Differentiable architecture search for convolutional and recurrent networks

[UNMAINTAINED] Automated machine learning for analytics & production

Fast and flexible AutoML with learning guarantees.

Open-source implementation of Google Vizier for hyper parameters tuning

Homepage for STAT 157 at UC Berkeley

2023年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Learning to Learn in TensorFlow

Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"

An educational resource to help anyone learn deep reinforcement learning.

A technical report on convolution arithmetic in the context of deep learning

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) H…