- San Juan
Stars
Learn how to design, develop, deploy and iterate on production-grade ML applications.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A multi-voice TTS system trained with an emphasis on quality
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
YSDA course in Natural Language Processing
Fast and flexible AutoML with learning guarantees.
A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain
serp-ai / bark-with-voice-clone
Forked from suno-ai/bark🔊 Text-prompted Generative Audio Model - With the ability to clone voices
Python libraries for Google Colaboratory
Low-Cost Open Source Ventilator or PAPR
[ICLR24] Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
Google Colaboratory Notebooks and Repositories (by @firmai)
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
Mellotron: a multispeaker voice synthesis model based on Tacotron 2 GST that can make a voice emote and sing without emotive or singing training data
Jupyter widget to interactively view molecular structures and trajectories
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Pape…
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
Deep Learning and Unsupervised Feature Learning Tutorial Solutions
MiniFold: Deep Learning for Protein Structure Prediction inspired by DeepMind AlphaFold algorithm
Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
Conversational text Analysis using various NLP techniques
Developer API service description and example client code
Deep learning based processing of Atac-seq data
Instruct-tune LLaMA on consumer hardware with shareGPT data
MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.
A first bare bones paralleled implementation of Go Explore as described by the Uber Engineering blog post