Pinned Repositories
algo_leet_code
annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
AutoSmart
DeepLearningZeroToAll
TensorFlow Basic Tutorial Labs
difacto
Distributed Factorization Machines
dlflow
DLFlow is a deep learning framework.
Halfrost-Field
✍🏻 这里是写博客的地方 —— Halfrost-Field 冰霜之地
Kaggle_CrowdFlower
1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)
KDDCUP_2020_AutoGraph_1st_Place
KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution
KDDCUP_2020_Debiasing_1st_Place
lwx960's Repositories
lwx960/algo_leet_code
lwx960/annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
lwx960/AutoSmart
lwx960/DeepLearningZeroToAll
TensorFlow Basic Tutorial Labs
lwx960/dlflow
DLFlow is a deep learning framework.
lwx960/Halfrost-Field
✍🏻 这里是写博客的地方 —— Halfrost-Field 冰霜之地
lwx960/Kaggle_CrowdFlower
1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)
lwx960/KDDCUP_2020_AutoGraph_1st_Place
KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution
lwx960/KDDCUP_2020_Debiasing_1st_Place
lwx960/LearnPython
以撸代码的形式学习Python
lwx960/libffm
A Library for Field-aware Factorization Machines
lwx960/libfm
Library for factorization machines
lwx960/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.
lwx960/lwx960
lwx960/machinelearninginaction
Source Code for the book: Machine Learning in Action published by Manning
lwx960/models
Models and examples built with TensorFlow
lwx960/ps-lite
A lightweight parameter server interface
lwx960/RecommenderSystem
lwx960/rtb-papers
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
lwx960/StackNet
StackNet is a computational, scalable and analytical Meta modelling framework
lwx960/start
begin
lwx960/Tech_Aarticle
深度学习模型在各大公司实战落地细节解读：主要是通过阅读各种实战文章，梳理模型落地的工程细节，涉及到搜索/推荐/自然语言处理。
lwx960/tensorflow
Computation using data flow graphs for scalable machine learning
lwx960/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
lwx960/tensorflow_template_application
TensorFlow template application for deep learning
lwx960/the-algorithm
Source code for Twitter's Recommendation Algorithm
lwx960/the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
lwx960/TigerBot
TigerBot: A multi-language multi-task LLM
lwx960/XGBoost-Tensorflow-Wide-and-deep-comparison
Comparison how Tensorflow Wide and Deep model performs vs. XGBoost implementation
lwx960/zhihu
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.