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wongzingji
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Code for the paper "Jukebox: A Generative Model for Music"
proof of concept for a transformer-based time series prediction model
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
A game theoretic approach to explain the output of any machine learning model.
This repository categorizes the papers about diffusion models applied in computer vision according to their target task. The classifcation is based on our survey: https://arxiv.org/abs/2209.04747v1
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Karras et al. (2022) diffusion models for PyTorch
Dynamic Thresholding (CFG Scale Fix) for Stable Diffusion (StableSwarmUI, ComfyUI, and Auto WebUI)
[CVPR 2022 Oral] Towards Layer-wise Image Vectorization
Dance Dance Convolution dataset tools and models
Geometric Computer Vision Library for Spatial AI
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
Roadmap to becoming an Artificial Intelligence Expert in 2022
My notes / works on deep learning from Coursera
Deploying a React App (created using create-react-app) to GitHub Pages
A collection of pre-trained StyleGAN 2 models to download
Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Web Augmented Reality. Image Tracking, Face Tracking. Tensorflow.js
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…