Starred repositories
🤗 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.
F´ - A flight software and embedded systems framework
Best Practices on Recommendation Systems
Unifying all code detailing learned ML concepts for easy reuse.
FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
Convert Machine Learning Code Between Frameworks
An implementation of a deep learning recommendation model (DLRM)
Aerospike Database Server – flash-optimized, in-memory, nosql database
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
An industrial deep learning framework for high-dimension sparse data
YoloV3 Implemented in Tensorflow 2.0
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
Representation learning on large graphs using stochastic graph convolutions.