Lists (7)
Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An opinionated list of awesome Python frameworks, libraries, software and resources.
Stable Diffusion web UI
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Interact with your documents using the power of GPT, 100% privately, no data leaks
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Make websites accessible for AI agents
real time face swap and one-click video deepfake with only a single image
A collection of design patterns/idioms in Python
Investment Research for Everyone, Everywhere.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Streamlit — A faster way to build and share data apps.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
💫 Industrial-strength Natural Language Processing (NLP) in Python
A community-maintained Python framework for creating mathematical animations.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
AIHawk aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in a tailored way.
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
AI's query engine - Platform for building AI that can learn and answer questions over large scale federated data.
The official Python library for the OpenAI API
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
☁️ Build multimodal AI applications with cloud-native stack
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.