sorecaffeine

sorecaffeine's Stars

• Xed-Editor/Xed-Editor

  Advanced Text Editor for android

  Language:Java49934

• cometscome/FluxKAN.jl

  An easy to use Flux implementation of the Kolmogorov Arnold Network. This is a Julia version of TorchKAN.

  Language:Julia28

• jpmorganchase/python-training

  Python training for business analysts and traders

  Language:Jupyter Notebook7.1k1.2k

• Future-House/paper-qa

  High accuracy RAG for answering questions from scientific documents with citations

  Language:Python6.7k668

• localsend/localsend

  An open-source cross-platform alternative to AirDrop

  Language:Dart56.1k3.1k

• valeman/Awesome_Math_Books

  1.2k86

• joglekara/VlaPy

  1D-1V Vlasov-Poisson(-Fokker-Planck), Plasma Physics PDE Simulation Tool in NumPy and experiment management in MLFlow

  Language:Jupyter Notebook3311

• johnaparker/fplanck

  Numerically solve the Fokker-Planck equation in N dimensions

  Language:Python8628

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  31k1.7k

• smolorg/smolar

  a tiny multidimensional array implementation in C similar to numpy, but only one file.

  Language:C2257

• BruceMacD/chatd

  Chat with your documents using local AI

  Language:JavaScript97064

• ollama/ollama

  Get up and running with Llama 3.3, Phi 4, Gemma 2, and other large language models.

  Language:Go108k8.6k

• afshinea/stanford-cs-229-machine-learning

  VIP cheatsheets for Stanford's CS 229 Machine Learning

  17.8k4k

• benedekrozemberczki/awesome-monte-carlo-tree-search-papers

  A curated list of Monte Carlo tree search papers with implementations.

  Language:Python65972

• johnfanv2/LenovoLegionLinux

  Driver and tools for controlling Lenovo Legion laptops in Linux including fan control and power mode.

  Language:C1.8k62

• jakerieger/FlaskIntroduction

  Repo for my tutorial on freeCodeCamp.org

  Language:HTML471480

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.8k6.1k

• kevinunger/snake-Q-Learning

  Q-Learning with the classic snake game

  Language:Python204

• Code-Bullet/Car-QLearning

  Language:Python11344

• Code-Bullet/Chess-AI

  Using minimax i created a chess AI

  9847

• chncyhn/flappybird-qlearning-bot

  Flappy Bird Bot using Reinforcement Learning

  Language:Python42094

• MoH-Malaysia/data-darah-public

  111

• jacobjinkelly/easy-neural-ode

  Code for the paper "Learning Differential Equations that are Easy to Solve"

  Language:Python27331

• rtqichen/torchdiffeq

  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

  Language:Python5.7k945

• ncrump/ComputationalPhysics

  A survey of computational physics problems in Python. Includes quantum mechanics, electrostatics, ODEs, PDEs, Monte Carlo, Fourier analysis, molecular modeling, cluster growth, genetic algorithm, dynamical systems and other fun stuff.

  Language:Python5711

• idrl-lab/PINNpapers

  Must-read Papers on Physics-Informed Neural Networks.

  Language:Python1k165

• lululxvi/deepxde

  A library for scientific machine learning and physics-informed learning

  Language:Python2.9k774

• Asabeneh/30-Days-Of-Python

  30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

  Language:Python43.9k8.4k

• python/cpython

  The Python programming language

  Language:Python64.7k30.9k

• milaan9/Python_Decision_Tree_and_Random_Forest

  I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.

  Language:Jupyter Notebook258204