A latent text-to-image diffusion model

🔊 Text-Prompted Generative Audio Model

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

stable diffusion webui colab

This repository contains implementations and illustrative code to accompany DeepMind publications

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

A collection of pre-trained, state-of-the-art models in the ONNX format

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

A 15TB Collection of Physics Simulation Datasets

A Code-First Introduction to NLP course

Coding the Machine Learning Tutorial for Learning to Learn

A colab gradio web UI for running Large Language Models

Mathematical derivation and pure Python code implementation of machine learning algorithms.

Attention is all you need implementation

Stable Diffusion implemented from scratch in PyTorch

Open source ultrasound processing modules and building blocks

User manual and example notebooks for the pytket quantum computing toolkit

PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks

A collection of IPython notebooks using QuTiP: examples, tutorials, development test, etc.

rdkit总结与实践

Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning

Tutorials on deep learning, Python, and dissipative particle dynamics

Code for "Learning data-driven discretizations for partial differential equations"

Introductory workshop on PINNs using the harmonic oscillator

Unofficial implementation of MaX-DeepLab for Instance Segmentation