Pinned Repositories
-Big-Data-Learning-Summary-
2016-ml-contest
Machine learning contest - October 2016 TLE
3D-Machine-Learning
A learning resource repository for 3D machine learning
3DFeatNet
3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration
Active-ORB-SLAM2
ORB SLAM2 with Active Planning
Ads-RecSys-Datasets
This repository collects some datasets for Ads & RecSys uses, and provide easy-to-use hdf5 iterative access.
Adversarial_Video_Generation
A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
DeepLearn
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
optuna
A hyperparameter optimization framework
Your-first-machine-learning-Project---End-to-End-in-Python
这是一个完整的,端到端的机器学习项目,非常适合有一定基础后拿来练习,以提高对完整机器学习项目的认识
zhanghonglishanzai's Repositories
zhanghonglishanzai/Ads-RecSys-Datasets
This repository collects some datasets for Ads & RecSys uses, and provide easy-to-use hdf5 iterative access.
zhanghonglishanzai/AutoDL
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
zhanghonglishanzai/AutoDL-Projects
Automated deep learning algorithms implemented in PyTorch or Tensorflow.
zhanghonglishanzai/automl-gs
Provide an input CSV and a target field to predict, generate a model + code to run it.
zhanghonglishanzai/Awesome-NAS
A curated list of neural architecture search (NAS) resources.
zhanghonglishanzai/CompressionVAE
General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.
zhanghonglishanzai/conference-school-notes
Collected Conference & Summer School Notes
zhanghonglishanzai/coursebook
Open Source Introductory Systems Programming Textbook for the University of Illinois
zhanghonglishanzai/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
zhanghonglishanzai/d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
zhanghonglishanzai/daisyRec
fair comparison for recommender system benchmarks
zhanghonglishanzai/darts
Differentiable architecture search for convolutional and recurrent networks
zhanghonglishanzai/deep-learning-uncertainty
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
zhanghonglishanzai/deepkit
The collaborative open-source machine learning devtool and training suite: Experiment execution, tracking, and debugging. With server and project management tools.
zhanghonglishanzai/DeepRec
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
zhanghonglishanzai/distributed_reinforcement_learning
implementation of distributed reinforcement learning with distributed tensorflow
zhanghonglishanzai/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
zhanghonglishanzai/eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
zhanghonglishanzai/flower
Real-time monitor and web admin for Celery distributed task queue
zhanghonglishanzai/L0_regularization
Learning Sparse Neural Networks through L0 regularization
zhanghonglishanzai/maddpg
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
zhanghonglishanzai/MADDPG_torch
The code for maddpg using pytorch
zhanghonglishanzai/multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
zhanghonglishanzai/OUCML
zhanghonglishanzai/papers_we_read
Summaries of the papers that are discussed by VLG
zhanghonglishanzai/Practical_Python_Programming
北邮《Python编程与实践》课程资料
zhanghonglishanzai/pycaret
An open source, low-code machine learning library in Python
zhanghonglishanzai/smote_variants
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
zhanghonglishanzai/StarCraft
Implementations of QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
zhanghonglishanzai/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.