source-nerd

source-nerd's Stars

• Troyanovsky/Local-LLM-Comparison-Colab-UI

  Compare the performance of different LLM that can be deployed locally on consumer hardware. Run yourself with Colab WebUI.

  Language:Jupyter Notebook986143

• bdsqqq/psykip

  The best way to read The Enchiridion from Epictetus — We compiled translations from different authors at different points of history alongside the original Enchiridion to make sure you can read your favorite version of it.

  Language:Astro452

• marimo-team/marimo

  A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

  Language:Python8k289

• scalingpythonml/scaling-python-with-dask

  A work-in-progress book on Dask

  Language:HTML12

• Avik-Jain/100-Days-Of-ML-Code

  100 Days of ML Coding

  45.6k10.6k

• kenjihiranabe/The-Art-of-Linear-Algebra

  Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

  Language:PostScript18.1k2.2k

• toeverything/AFFiNE

  There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable and ready to use.

  Language:TypeScript42.7k2.8k

• jonkrohn/ML-foundations

  Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

  Language:Jupyter Notebook3.5k1.7k

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook16.8k4.2k

• ml-tooling/best-of-ml-python

  🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

  18.2k2.5k

• BoltzmannEntropy/interviews.ai

  It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

  4.5k298

• Adi-iitd/AI-Art

  PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!

  Language:Python38572

• AkashSingh3031/The-Complete-FAANG-Preparation

  Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.

  Language:Jupyter Notebook10.9k2.4k

• dcajasn/Riskfolio-Lib

  Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

  Language:C++3.1k523

• AMAI-GmbH/AI-Expert-Roadmap

  Roadmap to becoming an Artificial Intelligence Expert in 2022

  Language:JavaScript29.3k2.5k

• Draichi/T-1000

  :zap: :zap: 𝘋𝘦𝘦𝘱 𝘙𝘓 𝘈𝘭𝘨𝘰𝘵𝘳𝘢𝘥𝘪𝘯𝘨 𝘸𝘪𝘵𝘩 𝘙𝘢𝘺 𝘈𝘗𝘐

  Language:Python17343

• Auquan/Tutorials

  Ipython notebooks for math and finance tutorials

  Language:Jupyter Notebook989568

• Hvass-Labs/FinanceOps

  Research in investment finance with Python Notebooks

  Language:Jupyter Notebook948220

• ChasionNo1/learn_tensorflow

  学习tensorflow的代码

  Language:Jupyter Notebook22

• Alro10/deep-learning-time-series

  List of papers, code and experiments using deep learning for time series forecasting

  Language:Jupyter Notebook2.6k525

• LastAncientOne/Stock_Analysis_For_Quant

  Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

  Language:Jupyter Notebook1.7k462

• andri27-ts/Reinforcement-Learning

  Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

  Language:Jupyter Notebook4.2k624

• Hvass-Labs/TensorFlow-Tutorials

  TensorFlow Tutorials with YouTube Videos

  Language:Jupyter Notebook9.3k4.2k

• cho2405/stock_analysis

  Language:Python1

• stefan-jansen/machine-learning-for-trading

  Code for Machine Learning for Algorithmic Trading, 2nd edition.

  Language:Jupyter Notebook13.5k4.3k

• shashankvemuri/Finance

  150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

  Language:Python2.2k63

• toutiaoio/awesome-architecture

  架构师技术图谱，助你早日成为架构师

  9.5k1.6k

• je-suis-tm/graph-theory

  Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models including Bianconi-Barabási, Barabási-Albert, Watts-Strogatz, Waxman Model & Erdős-Rényi; graph theory algorithms involving Gillespie, Bron Kerbosch, Ramsey, Bellman Ford, A*, Kruskal, Borůvka, Prim, Dijkstra, DSatur, Randomized Distributed, Vizing, Topological Sort, DFS, BFS

  Language:Jupyter Notebook36090

• robertmartin8/PyPortfolioOpt

  Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

  Language:Jupyter Notebook4.6k959

• entrpn/fingym

  A tool for developing reinforcement learning algorithms focused in stock prediction

  Language:Python185