Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

计算机自学指南

后端架构师技术图谱

Collection of Deep Reinforcement Learning algorithms

Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition

Implementation of the convolutional module from the Conformer paper, for use in Transformers

The code for the paper: https://arxiv.org/abs/1806.06317

https://hrl.boyuai.com/

matplotlib 绘图可视化知识点

Clustering and fitting of time series based on DTW and k-means

本教程独立网站已上线

轨迹相似度计算_中国软件杯二等奖（2016）

a distributed Hyperband implementation on Steroids

PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400

Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"

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…

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

A framework for optimizing genetic algorithm hyperparameters and structure through a meta-learning approach.

李宏毅2021/2022/2023春季机器学习课程课件及作业

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

Gradient-based hyperparameter optimization package with TensorFlow

This is the official repo for the experiments in the paper "Bilevel Programming for Hyperparameter Optimization and Meta-Learning"

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

Implementation of Electric Load Forecasting Based on LSTM (BiLSTM). Including direct-multi-output forecasting, single-step-scrolling forecasting, multi-model-single-step forecasting, multi-model-sc…

PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).

Production First and Production Ready End-to-End Speech Recognition Toolkit

FSA/FST algorithms, differentiable, with PyTorch compatibility.