eycab's repositories
ai_papers
AI相关论文
AliGraph
Large Scale Graphical Model
arctic
High performance datastore for time series and tick data
awesome-anomaly-detection
A curated list of awesome anomaly detection resources
awesome-quantum-ml
Curated list of awesome papers and resources in quantum machine learning
awesome-robotics
A list of awesome Robotics resources
awesome-scalability
The Patterns Behind Scalable, Reliable, and Performant Large-Scale Systems
awesome-spark
A curated list of awesome Apache Spark packages and resources.
bayesian-machine-learning
Notebooks related to Bayesian methods for machine learning
BayesianNeuralNetwork
a repo sharing Bayesian Neural Network recent papers
blaze
NumPy and Pandas interface to Big Data
deap
Distributed Evolutionary Algorithms in Python
DeepExplain
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability
DIM
Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
loss-landscape
Code for visualizing the loss landscape of neural nets
ludwig
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
OpenRefine
OpenRefine is a free, open source power tool for working with messy data and improving it
private-ai-resources
Private machine learning progress
rakam
📈 An analytics platform that makes easy to create custom analytics services
reef
Automatically labeling training data
reproducible-image-denoising-state-of-the-art
Collection of popular and reproducible image denoising works.
softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains.
surreal
Open-Source Distributed Reinforcement Learning Framework by Stanford Vision and Learning Lab
tiny-dnn
header only, dependency-free deep learning framework in C++14
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
useful-computer-vision-phd-resources
Lists of resources useful for my PhD in computer vision
WeakSupervisedSegmentationList
This repository contains lists of state-or-art weakly supervised semantic segmentation works
XSum
Topic-Aware Convolutional Neural Networks for Extreme Summarization