ECS AI's Projects
100 Days of ML Coding
40 Algorithms Every Programmer Should Know, published by Packt
Easily create a beautiful website using Academic and Hugo
A Python toolkit for rule-based/unsupervised anomaly detection in time series
An Open-source Framework for Autonomous Language Agents
Text classification demo from our Next '19 breakout session
End-to-end machine learning on your desktop or server.
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
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
MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.
🧑🏫 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, ... 🧠
Anomaly detection related books, papers, videos, and toolboxes
Approaching (Almost) Any Machine Learning Problem
Sample code from the Arctic Data Center training
Declarative continuous deployment for Kubernetes.
Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
A list of AI autonomous agents
👓 ⏩ A curated list of resources about all things Cloud Run
A curated list of awesome computer vision resources
A list of popular deep learning models related to classification, segmentation and detection problems
A curated list of awesome Dash (plotly) resources
A tutorial for setting a new machine with core data science tools
A collection of important graph embedding, classification and representation learning papers with implementations.
JAX - A curated list of resources https://github.com/google/jax
A curated awesome list of Machine Learning Engineering resources. Feel free to contribute! 🚀
A curated list of references for MLOps
A compilation of the best multi-agent papers
Awesome Open Atmospheric, Ocean, and Climate Science
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning