MKMC1's Stars
astral-sh/uv
An extremely fast Python package and project manager, written in Rust.
facebookresearch/metaseq
Repo for external large-scale work
ritvikmath/YouTubeVideoCode
Code related to my YouTube vids!
ManimCommunity/manim
A community-maintained Python framework for creating mathematical animations.
AvivNavon/pareto-hypernetworks
Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]
Tim-HW/ROS2-Path-Planning-Turtlebot3-Potential-Field
ROS2 Package for turtlebot3 to execute local path planning using the potential field methods. This package is an excuse to learn C++ and ROS2. Feel free to use it as you wish :D
banuprathap/PotentialFieldPathPlanning
A c++ implementation of potential field based path planning
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
hyperopt/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
bayesian-optimization/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
fastai/fastbook
The fastai book, published as Jupyter Notebooks
YingfanWang/PaCMAP
PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure
maxim5/cs229-2018-autumn
All notes and materials for the CS229: Machine Learning course by Stanford University
equinor/TimeSeriesAnalysis
Library that combines control engineering, dynamic simulation and machine learning on time-series. Developed to describe industrial processes and -automation. Lightweight, robust and fast for use in advanced analytics. Built on .NET to run anywhere.
Kanaries/pygwalker
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
RazvanDu/DUCK-Net
Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )
vinta/awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
trekhleb/machine-learning-experiments
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
trekhleb/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
dabeaz-course/python-mastery
Advanced Python Mastery (course by @dabeaz)
dynamicslab/databook_python
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz
a1k12/characterizing-pinns-failure-modes
Characterizing possible failure modes in physics-informed neural networks.
ImplFerris/LearnRust
Rust Learning Resources
GPflow/GPflow
Gaussian processes in TensorFlow
jlevy/the-art-of-command-line
Master the command line, in one page
dtolnay/proc-macro-workshop
Learn to write Rust procedural macros [Rust Latam conference, Montevideo Uruguay, March 2019]
tfpk/macrokata
Learn Macros In Rust
miguelgrinberg/microblog
The microblogging application developed in my Flask Mega-Tutorial series. This version maps to the 2024 Edition of the tutorial.
KindXiaoming/pykan
Kolmogorov Arnold Networks