Pinned Repositories
Auto-Lianliankan
基于python图像识别实现的连连看外挂，可实现QQ连连看秒破
awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
big-data-project
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
DeepLearningFlappyBird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
donut
Donut is an anomaly detection algorithm for seasonal KPIs.
Get_Stock_Price_HongKong
从新浪财经抓取港股信息
SPACE
Official implementation of SPACE
cteant's Repositories
cteant/SPACE
Official implementation of SPACE
cteant/Get_Stock_Price_HongKong
从新浪财经抓取港股信息
cteant/Auto-Lianliankan
基于python图像识别实现的连连看外挂，可实现QQ连连看秒破
cteant/awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
cteant/benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
cteant/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
cteant/donut
Donut is an anomaly detection algorithm for seasonal KPIs.
cteant/GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
cteant/gcForest
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
cteant/get_recommend_stock
抓取同花顺智能选股和level2广告页股票推荐数据，并发送邮件给指定邮箱
cteant/ITArticles
cteant/lgcn
cteant/magenta
Magenta: Music and Art Generation with Machine Intelligence
cteant/mahjong-1
麻将算法汇总
cteant/matrixprofile-ts
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
cteant/Mr-SEQL
Time Series Classification with Multiple Symbolic Representations.
cteant/NGM-sentiment-analysis
Implementation of Neural Graph Machine inspired by the paper [2017 - Bui, Ravi Ramavajjala - Neural Graph Machines: Learning Neural Networks Using Graphs] (https://arxiv.org/abs/1703.04818) for binary Sentiment Analysis using the Large Movie Review Dataset. This is an optional project for a class in Advanced Algorithms and Parallel Programming
cteant/Production-Level-Deep-Learning
This repo attempts to serve as a guideline for building practical production-level deep learning systems to be deployed in real world applications.
cteant/pybld
Build different versions of python locally with virtual environments.
cteant/resnet-in-tensorflow
Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.
cteant/RoboCats-falling-by-cubic-polynomial
This repository contains the algorithm to solve the IBM puzzles that available at: https://www.research.ibm.com/haifa/ponderthis/challenges/April2016.html
cteant/semisup-learn
Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
cteant/SERGCN
Code for SERGCN
cteant/simple_dqn
Simple deep Q-learning agent.
cteant/spark-lp
Distributed Linear Programming Solver on top of Apache Spark
cteant/Spec-Bench
Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)
cteant/TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow
cteant/tensorflow-crash-course
For those who already have some basic idea about deep learning, and preferably are familiar with PyTorch.
cteant/TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
cteant/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow