Stars
Declarative way to run AI models in React Native on device, powered by ExecuTorch.
Implementation of a hierarchical CNN based model to detect Big Five personality traits
This is Yunshu's [Activision](https://www.activision.com/) internship project. We are interested in understanding user opinions about Activision titles on social media data. In this project, we aim…
DeepSeek Coder: Let the Code Write Itself
Openpose editor for ControlNet. Full hand/face support.
The official implementation of the paper "Human Motion Diffusion as a Generative Prior"
A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
TL_Control: Trajectory and Language Control for Human Motion Synthesis
[Open-source Project] UniMoCap: community implementation to unify the text-motion datasets (HumanML3D, KIT-ML, and BABEL) and whole-body motion dataset (Motion-X).
[ICML 2024] 🍅HumanTOMATO: Text-aligned Whole-body Motion Generation
Find files, which are nowhere linked, so they are maybe lost in your vault.
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.
Online resources for Python Crash Course, 3rd edition, from No Starch Press.
An intro to Python & programming for wanna-be data scientists
All of the figures and notebooks for my deep learning book, for free!
This repo has been created to share the solutions of all the quizzes and assignments of all three courses of this specialization.