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cinneesol's starred repositories

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

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grok-1

Grok open release

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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.

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LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

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go

The Open Source Data Science Masters

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data-science

:bar_chart: Path to a free self-taught education in Data Science!

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pandas_exercises

Practice your pandas skills!

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data-science-interviews

Data science interview questions and answers

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EMO

Emote Portrait Alive: Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions

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awesome-data-engineering

A curated list of data engineering tools for software developers

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cvxpy

A Python-embedded modeling language for convex optimization problems.

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NN-SVG

Publication-ready NN-architecture schematics.

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Data-Engineering-HowTo

A list of useful resources to learn Data Engineering from scratch

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keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

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LearnDataScience

Open Content for self-directed learning in data science

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FinanceToolkit

Transparent and Efficient Financial Analysis

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auto-dev

🧙‍AutoDev: The AI-powered coding wizard with multilingual support 🌐, auto code generation 🏗️, and a helpful bug-slaying assistant 🐞! Customizable prompts 🎨 and a magic Auto Dev/Testing/Document/Agent feature 🧪 included! 🚀

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algorithmic-trading-with-python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

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data-science-question-answer

A repo for data science related questions and answers

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nautilus_trader

A high-performance algorithmic trading platform and event-driven backtester

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nlopt

library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization

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lightning-thunder

Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs.

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UniTS

A unified multi-task time series model.

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RealNet

Offical implementation of "RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection (CVPR 2024)"

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CompMethods

"Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly used computational methods in economics.

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FNSPID_Financial_News_Dataset

FNSPID: A Comprehensive Financial News Dataset in Time Series

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NLoptNet

This is a C# wrapper around the NLopt C library.

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csnumerics

Portable numerical algorithms in C#

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node-nlopt

A numerical nonlinear optimization library for node. A wrapper around nlopt.

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nlopt4j

NLopt for Java

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