Pinned Repositories
BNMTF
Python implementations of bayesian non-negative matrix factorisation (BNMF) and tri-factorisation (BNMTF) algorithms, using Gibbs sampling and variational Bayesian inference. BNMF Gibbs sampler was introduced by Schmidt et al. (2009).
brushfire
Distributed decision tree ensemble learning in Scala
documents
some documents
jdk
Read-only mirror of https://hg.openjdk.java.net/jdk/jdk
machinglearning
machine learning
plsa
a probabilistic latent semantic analysis model in matlab programming
publishrepo
Publish some codes in this repositoy
pyutil
A python util package
sklearn-bayes
Relevance Vector Machine, Bayesian Linear Models, Bayesian Mixture Models, Bayesian HMM
sol
sparse online learning
lizhangzhan's Repositories
lizhangzhan/alphaPLM
Multi-thread implementation of Piece-wise Linear Model(PLM) or Mixture of LR(MLR) with FTRL for binary-class classification problem.
lizhangzhan/bayesian-rnn
lizhangzhan/brain
[UNMAINTAINED] Simple feed-forward neural network in JavaScript
lizhangzhan/codeview
lizhangzhan/cpputil
lizhangzhan/cs224n-winter17-notes
Course notes for CS224N Winter17
lizhangzhan/d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
lizhangzhan/Deep-Metric-Learning-CVPR16
Main repository for Deep Metric Learning via Lifted Structured Feature Embedding
lizhangzhan/deep-residual-networks
Deep Residual Learning for Image Recognition
lizhangzhan/DeepLearningImplementations
Implementation of recent Deep Learning papers
lizhangzhan/dist-keras
Distributed deep learning with Keras and Apache Spark.
lizhangzhan/frequent-directions
Implements the frequent directions algorithm for approximating matrices in streams
lizhangzhan/FrequentDirections
Matlab implementation of Frequent Directions variants for matrix sketching
lizhangzhan/google-interview-university
A complete daily plan for studying to become a Google software engineer.
lizhangzhan/Hard-Aware-Deeply-Cascaded-Embedding_release
Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"
lizhangzhan/indigo
:ramen: Minimalist Jekyll Template
lizhangzhan/latexcv
lizhangzhan/learning-to-learn
Learning to Learn in TensorFlow
lizhangzhan/mooc-setup
Information for setting up for the BerkeleyX Spark Intro MOOC, and lab assignments for the course
lizhangzhan/nnvm
Intermediate Computational Graph Representation for Deep Learning Systems
lizhangzhan/Paddle
PArallel Distributed Deep LEarning
lizhangzhan/PDD
Advanced Bloom Filter Based Algorithms for Efficient Approximate Data De-Duplication in Streams
lizhangzhan/reinforcejs
Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)
lizhangzhan/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
lizhangzhan/reinforcement-learning-an-introduction
Python code for Reinforcement Learning: An Introduction
lizhangzhan/resource4blogs
pictures etc for blog
lizhangzhan/SG_MCMC
Implementation of Stochastic Gradient MCMC algorithms
lizhangzhan/sonnet
TensorFlow-based neural network library
lizhangzhan/svrg
project relating to svrg and batch normalization
lizhangzhan/wide-residual-networks
3.8% and 18.3% on CIFAR-10 and CIFAR-100