Pinned Repositories
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100-Days-Of-ML-Code
100 Days of ML Coding
1806
18.06 course at MIT
AgnosticMeanAndCovarianceCode
Agnostic Mean estimation code for "Agnostic Estimation of Mean and Covariance"
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
algorithms
Bug-tracking for Jeff's algorithms book, notes, etc.
AManPG
Implementation of chenshixiang/AManPG in R, Python, Julia.
POT
Python Optimal Transport library
qreg
Data sparse and non-parametric quantile regression
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
Gakkilovemath's Repositories
Gakkilovemath/baruch-mfe-lab
Baruch MFE program quant lab
Gakkilovemath/CVXR
An R modeling language for convex optimization problems.
Gakkilovemath/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Gakkilovemath/Deep-Learning-with-Keras
Code repository for Deep Learning with Keras published by Packt
Gakkilovemath/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
Gakkilovemath/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Gakkilovemath/em
Notes + notebooks on EM + variational EM algorithms for Bayesian methods tutorial
Gakkilovemath/example-models
Example models for Stan
Gakkilovemath/Fall2018-tutorials
Tutorials for Fall 2018
Gakkilovemath/GP_Derivatives
Scalable Gaussian Process Regression with Derivatives
Gakkilovemath/GPy
Gaussian processes framework in python
Gakkilovemath/incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Gakkilovemath/lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay
Gakkilovemath/lightspeed
lightspeed matlab toolbox
Gakkilovemath/mlpack
mlpack: a scalable C++ machine learning library --
Gakkilovemath/MOMpower
codes for MOM estimation and outliers detection
Gakkilovemath/MScDS-R4BD
MSc Data Science -R for Big Data
Gakkilovemath/nlp_course
YSDA course in Natural Language Processing
Gakkilovemath/PyDeepGP
Deep Gaussian Processes in Python
Gakkilovemath/pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
Gakkilovemath/pyprob
A PyTorch-based library for probabilistic programming and inference compilation
Gakkilovemath/pystan
PyStan, the Python interface to Stan
Gakkilovemath/PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
Gakkilovemath/resources
PyMC3 educational resources
Gakkilovemath/ristretto
Randomized Dimension Reduction Library
Gakkilovemath/rstan
RStan, the R interface to Stan
Gakkilovemath/StackNet
StackNet is a computational, scalable and analytical Meta modelling framework
Gakkilovemath/stan-book
Repository for book "Bayesian Statistics Using Stan", text files in Rmarkdown, plus example data, Stan models, and scripts
Gakkilovemath/StochOpt.jl
A suite of stochastic optimization methods for solving the empirical risk minimization problem.
Gakkilovemath/tensorboardX
tensorboard for pytorch (and chainer, mxnet, numpy, ...)