Pinned Repositories
cifar-10-cnn
Play deep learning with CIFAR datasets
cs25-notes
Stanford CS 25 | Transformers United 课程笔记，「首个Transformers专题讲座，NLP、CV和RL无所不包」
darknet
Convolutional Neural Networks
deep-learning-book
MIT Deep Learning Book in PDF format
deeplearningbook-chinese
Deep Learning Book Chinese Translation
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
scikit-learn-doc-cn
scikit-learn机器学习库中文文档翻译项目
tensorflow
Computation using data flow graphs for scalable machine learning
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
mlw67's Repositories
mlw67/cs25-notes
Stanford CS 25 | Transformers United 课程笔记，「首个Transformers专题讲座，NLP、CV和RL无所不包」
mlw67/Implicit_sparsity_DLM
A Supplementary material of "implicit regularization of deep linear model for sparse recovery"
mlw67/leeml-notes
李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes
mlw67/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
mlw67/Pixel2Mesh
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.
mlw67/team-learning
主要展示Datawhale的组队学习计划。
mlw67/ai-self-learning
期望做一份好的人工智能（AI）的自学指南。关键词：人工智能、大模型（LLM）、深度学习、机器学习、计算机、数学基础、工程部署与应用
mlw67/CIFAR-ZOO
PyTorch implementation of CNNs for CIFAR benchmark
mlw67/deep-time-series
Deep learning PyTorch library for time series forecasting
mlw67/deep_matrix_factorization
Code for Implicit Regularization in Deep Matrix Factorization.
mlw67/EasyML
Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.
mlw67/google-research
Google Research
mlw67/interpretable-ml-book
Book about interpretable machine learning
mlw67/key-book
key-book
mlw67/label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
mlw67/llm-deploy
大模型部署的教程
mlw67/llms-from-scratch-cn
从零搭建一个基于Transformer的大语言模型（LLM）-中文版
mlw67/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
mlw67/MINDFUL_NET
A Classification DL model that combines autoencoders and 1DCNN
mlw67/mlw67
Config files for my GitHub profile.
mlw67/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
mlw67/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
mlw67/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
mlw67/pykan
Kolmogorov Arnold Networks
mlw67/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.
mlw67/self-llm-large
《开源大模型食用指南》基于Linux环境快速部署开源大模型（修改并添加模型介绍）
mlw67/Tencent2019_Preliminary_Rank1st
The code for 2019 Tencent College Algorithm Contest, and the online result ranks 1st in the preliminary.
mlw67/TimeS-benchmark
关注于研究时间序列问题的本身和科学的评估方式。「Focuses on the foundation problem of time series and the benchmarks.」
mlw67/tiny-universe
《大模型白盒子构建指南》：一个全手搓的Tiny-Universe
mlw67/TransnormerLLM
Official implementation of TransNormerLLM: A Faster and Better LLM