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Southern Methodist University
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- xding.me
Stars
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Django-mdeditor is Markdown Editor plugin application for django base on Editor.md.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
Stable Diffusion web UI
A Variational Autoencoder (VAE) implemented in PyTorch
A Collection of Variational Autoencoders (VAE) in PyTorch.
Domain-driven e-commerce for Django
Graphical User Interface for creating and running Scratch 3.0 projects.
Markov Decision Processes, Dynamic Programming and Reinforcement Learning
This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
a visual programming language inspired by Scratch
Phaser is a fun, free and fast 2D game framework for making HTML5 games for desktop and mobile web browsers, supporting Canvas and WebGL rendering.
The web-based visual programming editor.
Scratch Blocks is a library for building creative computing interfaces.
Luanti (formerly Minetest) is an open source voxel game-creation platform with easy modding and game creation
Python implementation of Bayesian Knowledge Tracing and extensions
Code for the Hidden Markov Model Tutorial Series
Hidden Markov Models in Python, with scikit-learn like API
Python wrapper for TA-Lib (http://ta-lib.org/).
The most cited deep learning papers
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
An implementation of WaveNet with fast generation
Command line utility for forced alignment using Kaldi
A collection of links and notes on forced alignment tools
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.