daviddao / awful-ai
πAwful AI is a curated list to track current scary usages of AI - hoping to raise awareness
β7,034Updated last month
Alternatives and similar repositories for awful-ai:
Users that are interested in awful-ai are comparing it to the libraries listed below
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.β4,430Updated last year
- A curated list of references for MLOpsβ13,009Updated 4 months ago
- A curated list of resources dedicated to Natural Language Processing (NLP)β17,061Updated last year
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)β7,325Updated 5 months ago
- Natural Language Processing Best Practices & Examplesβ6,401Updated 2 years ago
- Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to diskβ13,634Updated 8 months ago
- Oxford Deep NLP 2017 courseβ15,703Updated last year
- Cool links & research papers related to Machine Learning applied to source code (MLonCode)β6,343Updated 4 years ago
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learningβ18,277Updated this week
- Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideasβ8,211Updated 2 years ago
- VIP cheatsheets for Stanford's CS 230 Deep Learningβ6,502Updated 4 years ago
- Low-code framework for building custom LLMs, neural networks, and other AI modelsβ11,400Updated 3 weeks ago
- Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.β2,541Updated 4 years ago
- Classical equations and diagrams in machine learningβ7,591Updated 8 months ago
- Promoting Solutions that Improve Wellbeing, Freedom and Societyβ3,043Updated 2 years ago
- β4,576Updated last year
- Visualizations for machine learning datasetsβ7,366Updated last year
- A Code-First Introduction to NLP courseβ3,443Updated 2 years ago
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectβ¦β12,527Updated 5 months ago
- Organized Resources for Deep Learning Researchers and Developersβ3,183Updated 2 years ago
- Deep universal probabilistic programming with Python and PyTorchβ8,708Updated 3 weeks ago
- For when people get too hyped up about thingsβ7,285Updated last year
- Science-based games - a collaborative listβ1,605Updated 9 months ago
- The fastai deep learning libraryβ26,807Updated this week
- A system for quickly generating training data with weak supervisionβ5,841Updated 11 months ago
- In this repository, I will share some useful notes and references about deploying deep learning-based models in production.β4,328Updated 4 months ago
- A collection of infrastructure and tools for research in neural network interpretability.β4,687Updated 2 years ago
- A natural language modeling framework based on PyTorchβ6,324Updated 2 years ago
- TensorFlow tutorials and best practices.β8,618Updated 4 years ago
- An experimental code editor for writing algorithmsβ2,913Updated 5 years ago