mlw67

LightGBM

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

scikit-learn

scikit-learn: machine learning in Python

cifar-10-cnn

Play deep learning with CIFAR datasets

darknet

Convolutional Neural Networks

Implicit_sparsity_DLM

A Supplementary material of "implicit regularization of deep linear model for sparse recovery"

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

ML_Note

A note of Machine Learning.

O2O-Coupon-Usage-Forecast

1st Place Solution for O2O Coupon Usage Forecast

Pixel2Mesh

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.

team-learning

主要展示Datawhale的组队学习计划。

Bytedance_ICME2019_challenge_baseline

Bytedance_ICME2019_challenge_baseline

Bytedance_ICME_challenge

CIFAR-ZOO

PyTorch implementation of CNNs for CIFAR benchmark

deep-time-series

Deep learning PyTorch library for time series forecasting

deep_matrix_factorization

Code for Implicit Regularization in Deep Matrix Factorization.

EasyML

Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

google-research

Google Research

interpretable-ml-book

Book about interpretable machine learning

key-book

key-book

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

MathModel

研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT

MINDFUL_NET

A Classification DL model that combines autoencoders and 1DCNN

mlw67

Config files for my GitHub profile.

mlw67.github.io

This is the blog to write down research and summarize some Book and paper notes.

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

prompt-engineering-for-developers

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

SAITS

The official code repository for paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) model with efficiency for multivariate time-series imputation.

Tencent2019_Preliminary_Rank1st

The code for 2019 Tencent College Algorithm Contest, and the online result ranks 1st in the preliminary.