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Name: M J
Type: User
Bio: ML Engineer
Location: San Francisco, CA
Name: M J
Type: User
Bio: ML Engineer
Location: San Francisco, CA
100 Days of ML Coding
Answers to 120 commonly asked data science interview questions.
Public material for CS109
Code to accompany Advanced Analytics with Spark from O'Reilly Media
The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.
Imitation Learning algorithms with Co-traing for Mobile ALOHA: ACT, Diffusion Policy, VINN
A collection of all the programs I wrote during Coursera's Design and Analysis of Algorithms Part 1
Hackable open-source version of Anthropic's Claude Artifacts
Generate comic panels using a LLM + SDXL. Powered by Hugging Face 🤗
该仓库尝试整理推荐系统领域的一些经典算法模型
AI-short-creator is an AI-powered tool that turns long videos into short clips. It works best for videos with multiple speakers and topics, such as interviews and documentaries. AI-short-creator finds the most engaging parts of the video, adds captions and transitions, and makes the clips ready for social media.
AI-Video-Cropper is a Python-based tool that leverages the power of GPT-4 (OpenAI's language model) to automatically analyze videos, extract the most interesting sections, and crop them for improved viewing experience. This project combines the capabilities of GPT-4, FFmpeg, and OpenCV to automate the process of identifying highlights in videos
A simple Google Colab notebook which can translate an original video into multiple languages along with lip sync.
AI Livestreamer for Youtube
Automatic trailer generation using AI
A recommender system for discovering GitHub repos, built with Apache Spark
Stanford Algorithms class excercises
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Algorithms I learned from Stanford's Algorithms: Design and Analysis
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Codes related to activities on AV including articles, hackathons and discussions.
A Flexible and Powerful Parameter Server for large-scale machine learning
Fine-Grained Open Domain Image Animation with Motion Guidance
Official implementation of AnimateDiff.
animatediff prompt travel
[Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime
An annotated implementation of the Transformer paper.
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.