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The simplest, fastest repository for training/finetuning medium-sized GPTs.
Acceptance rates for the major AI conferences
Contextual Doc Retrieval is a Python-based system leveraging OpenAI GPT-4o and Cohere for re-ranking and query expansion, combined with BM25 for accurate document retrieval. It parses PDFs, chunks …
A curated list of awesome responsible machine learning resources.
Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
Seamlessly integrate LLMs as Python functions
Transcriptions of the seenunseen.in podcast generated using openai's whisper model
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
pcah / cosmic-python-book
Forked from cosmicpython/bookA Book about Pythonic Application Architecture Patterns for Managing Complexity. Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho.
An opinionated list of awesome Python frameworks, libraries, software and resources.
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Distributed Asynchronous Hyperparameter Optimization in Python
Apache Spark - A unified analytics engine for large-scale data processing
A generative AI extension for JupyterLab
Convert Machine Learning Code Between Frameworks
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
The fastai book, published as Jupyter Notebooks
The RedPajama-Data repository contains code for preparing large datasets for training large language models.
Algorithmic Trading in Python with Machine Learning
Clean PyTorch implementations of imitation and reward learning algorithms
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.