Gakkilovemath's Stars
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
google/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
keon/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
rougier/scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
probml/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
pytorch/ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
facebookresearch/fairscale
PyTorch extensions for high performance and large scale training.
aaron-xichen/pytorch-playground
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
m2dsupsdlclass/lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
machow/siuba
Python library for using dplyr like syntax with pandas and SQL
bayesgroup/deepbayes-2018
Seminars DeepBayes Summer School 2018
stan-dev/rstan
RStan, the R interface to Stan
iml-wg/HEP-ML-Resources
Listing of useful learning resources for machine learning applications in high energy physics (HEPML)
ccanonne/probabilitydistributiontoolbox
Folklore facts on probability distribution learning, testing, and whatever-ing
philipphennig/NumericsOfML
Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
probml/ssm-book
Interactive textbook on state-space models
rflamary/OTML_DS3_2018
Practical sessions for the Optimal Transport and Machine learning course at DS3 2018
rbardenet/bml-course
Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
xorJane/Introduction_to_Julia_tutorials
These are the jupyter notebooks used for intro tutorials to teach Julia
formll/dog
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule
jaapwalhout/data.table-tutorial-uros2018
gmanzog/DeepLearningCreditRiskModeling
Replication codes for Deep Learning Credit Risk Modeling by Manzo, Qiao
amkatrutsa/cvx_opt_sda2021
Convex optimization course in Yandex School of Data Analysis
scottroy/optimal-quadratic-averaging
A Matlab implementation of the optimal quadratic averaging algorithm.
Gakkilovemath/POT
Python Optimal Transport library
Gakkilovemath/qreg
Data sparse and non-parametric quantile regression
Gakkilovemath/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