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Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
HPCC Systems (High Performance Computing Cluster) is an open source, massive parallel-processing computing platform for big data processing and analytics.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
Documentation behind the model used to analyse companies in Simply Wall St
"LINDO" The Home Assistant Robot
ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.
The NSE has a website which displays the option chain in near real-time. This program retrieves this data from the NSE site and then generates useful analysis of the Option Chain for the specified …
Ipython notebooks for math and finance tutorials
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Stable diffusion for real-time music generation (web app)
Stable diffusion for real-time music generation
Mixxx is Free DJ software that gives you everything you need to perform live mixes.
A library for financial options pricing written in Python.
scikit-learn: machine learning in Python
Jupyter notebooks and example code for the book Fluent Python
Repository for the manuscript of Elements of Data Science
Text and supporting code for Think Stats, 2nd Edition
Text and code for the second edition of Think Bayes, by Allen Downey.
Supplementary material for my book, Probably Overthinking It.
Python library that represents empirical distribution functions.
BlackScholes Model, with Montecarlo implmented in python with TensorFlow
A library for black-scholes euro options pricing, algorithmic delta hedging, and visualization