jllanfranchi's Stars
dmlc/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, Dask, Flink and DataFlow
google/yapf
A formatter for Python files
numba/numba
NumPy aware dynamic Python compiler using LLVM
hyperopt/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
DEAP/deap
Distributed Evolutionary Algorithms in Python
Qix-/better-exceptions
Pretty and useful exceptions in Python, automatically.
spack/spack
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
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.
szilard/benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
bors-ng/bors-ng
👁 A merge bot for GitHub Pull Requests
pystorm/streamparse
Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.
piskvorky/sqlitedict
Persistent dict, backed by sqlite3 and pickle, multithread-safe.
Parsely/pykafka
Apache Kafka client for Python; high-level & low-level consumer/producer, with great performance.
python-versioneer/python-versioneer
version-string management for VCS-controlled trees
nvie/vim-flake8
Flake8 plugin for Vim
pydata/bottleneck
Fast NumPy array functions written in C
src-d/kmcuda
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
dask/dask-searchcv
dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml
ndarray/ndarray
NumPy-compatible multidimensional arrays in C++
cooperative-computing-lab/cctools
The Cooperative Computing Tools (cctools) enable large scale distributed computations to harness hundreds to thousands of machines from clusters, clouds, and grids.
davidediger/sfft
Sparse Fast Fourier Transform Library (C/C++/Python)
eggplantbren/DNest4
Diffusive Nested Sampling
QuantEcon/rvlib
Distributions for Python
NLeSC/root-conda-recipes
Conda recipes for building ROOT 5 and ROOT 6 binaries, root_numpy, rootpy, root_pandas, with both Python 2 and Python 3 support.
icecube/pisa
Monte Carlo-based data analysis
kwgoodman/femto
Fast, multi-threaded NumPy array functions
JorisDeRidder/DIAMONDS
A high-DImensional And multi-MOdeal NesteD Sampling code for Bayesian parameter estimation and model selection.
fjarri/python-dcmt
Dynamic creation of Mersenne twisters for Python
mhieronymus/histogramming
Based on https://devblogs.nvidia.com/parallelforall/gpu-pro-tip-fast-histograms-using-shared-atomics-maxwell/
bnaul/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.