cinneesol's starred repositories
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
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.
LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
data-science
:bar_chart: Path to a free self-taught education in Data Science!
pandas_exercises
Practice your pandas skills!
data-science-interviews
Data science interview questions and answers
awesome-data-engineering
A curated list of data engineering tools for software developers
Data-Engineering-HowTo
A list of useful resources to learn Data Engineering from scratch
keras-resources
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
LearnDataScience
Open Content for self-directed learning in data science
FinanceToolkit
Transparent and Efficient Financial Analysis
algorithmic-trading-with-python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
data-science-question-answer
A repo for data science related questions and answers
nautilus_trader
A high-performance algorithmic trading platform and event-driven backtester
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.
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.
FNSPID_Financial_News_Dataset
FNSPID: A Comprehensive Financial News Dataset in Time Series
csnumerics
Portable numerical algorithms in C#
node-nlopt
A numerical nonlinear optimization library for node. A wrapper around nlopt.