ChanaMasa's Stars
ggerganov/llama.cpp
LLM inference in C/C++
openai/openai-cookbook
Examples and guides for using the OpenAI API
pola-rs/polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
tree-sitter/tree-sitter
An incremental parsing system for programming tools
deeplearning4j/deeplearning4j
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
stan-dev/stan
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
deeplearning4j/deeplearning4j-examples
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
aloctavodia/Doing_bayesian_data_analysis
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
pprevos/emacs-writing-studio
Emacs configuration for authors who research, write and publish articles, books and websites.
wnzhang/deep-ctr
An attempt of training DNN models to predict ad click-through rate, implemented with Theano.
aws/sagemaker-inference-toolkit
Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
markovi/PyClick
varepsilon/clickmodels
ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)
alexarchambault/plotly-scala
Scala bindings for plotly.js
MatsuuraKentaro/RStanBook
『StanとRでベイズ統計モデリング』のサポートページです.
ChuXiaokai/baidu_ultr_dataset
an unbias-learning-to-rank dataset of Baidu
bit-ml/AnoShift
HiroshiHamada/BMS
『社会科学のためのベイズ統計モデリング』サポーサイト
ecom-research/CRM-LTR
Mend Your Learning Approach, Not the Data for Ranking E-Commerce Products
joonho112/Bayesian-causal-inference
Tutorials on Stan for Bayesian causal inference
neerajwagh/evaluating-eeg-representations
Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.
pianocode/thelongrun_notebooks
Repository covering basics of Bayesian inference
vivekhub/simplenote-backup
A Python program to backup your simplenote.com
emacsmirror/emacs
GNU Emacs mirror
aloctavodia/pymc3
Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.
aloctavodia/bambi
BAyesian Model-Building Interface (BAMBI) in Python.
aloctavodia/Theano-PyMC
Theano-PyMC is a fork of the Theano library maintained by the PyMC developers