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A quick guide (especially) for trending instruction finetuning datasets
Summarize existing representative LLMs text datasets.
the AI-native open-source embedding database
A research tool for the Iterated Prisoner's Dilemma
Official Implementation of "DeLLMa: Decision Making Under Uncertainty with Large Language Models"
A Python implementation of edgeR for differential expression analysis
https://www.sc-best-practices.org
Formalizing and benchmarking open problems in single-cell genomics
Beautiful toolbox for jsdoc generated documentation - with 'typescript', `category` and `component` plugins
Understanding Deep Learning - Simon J.D. Prince
Code repository for the online course Feature Engineering for Machine Learning
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Examples and guides for using the OpenAI API
Biomedical Named Entity Recognition and Normalization of Diseases, Chemicals and Genenetic entity classes through the use of state-of-the-art models.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
Reference implementation of code generation projects from Facebook AI Research. General toolkit to apply machine learning to code, from dataset creation to model training and evaluation. Comes with…
PyTorch code and models for the DINOv2 self-supervised learning method.
GBA Homebrew for trading Pokémon between Gen 3 and Gen 1/2, as well as editing Clock Settings.
Generator of runtime monitors for flight and robotics applications.
Datasets collection and preprocessings framework for NLP extreme multitask learning