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Machine Learning, AI, Natural Language Processing, Computer Vision, Large Language Models, Convolutional Neural Networks, Generative Adversarial Networks5 repositories
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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Examples and guides for using the OpenAI API
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Google Research
A simple screen parsing tool towards pure vision based GUI agent
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
StableLM: Stability AI Language Models
Code release for NeRF (Neural Radiance Fields)
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Sweep: AI coding assistant for JetBrains
Using Low-rank adaptation to quickly fine-tune diffusion models.
Tutorials for creating and using ONNX models
Open-source and strong foundation image recognition models.
The hub for EleutherAI's work on interpretability and learning dynamics
Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".
Implementation of "Generative Agents: Interactive Simulacra of Human Behavior" paper with Guidance and Langchain. Full features and work with local LLMs.
Load local LLMs effortlessly in a Jupyter notebook for testing purposes alongside Langchain or other agents. Contains Oobagooga and KoboldAI versions of the langchain notebooks with examples.
Developer API service description and example client code
A wrapper of LLMs that biases its behaviour using prompts and contexts in a transparent manner to the end-users
A collection of Jupyter notebooks, each walking you through a common example of bibliometric analysis using scholarly data from the OpenAlex API.
Colabs for Neural Image Enhancement.
An AI Tool for Automated Research Question and Hypothesis Generation from a given Scientific Literature
This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.