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AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A natural language interface for computers
Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
PyTorch Tutorial for Deep Learning Researchers
Deezer source separation library including pretrained models.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
A resource for learning about Machine learning & Deep Learning
Allows you easily scan for and delete scam comments using several methods.
OpenMMLab Text Detection, Recognition and Understanding Toolbox
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
An unofficial PyTorch implementation of the audio LM VALL-E
The strictest and most opinionated python linter ever!
Simultaneous object detection and tracking using center points.
A modular active learning framework for Python
TFX is an end-to-end platform for deploying production ML pipelines
🧙 A web app to generate template code for machine learning
ReFT: Representation Finetuning for Language Models
Library of community detection algorithms and visualization tools
NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)
MADE (Masked Autoencoder Density Estimation) implementation in PyTorch