#
Starred repositories
38
stars
written in Python
Clear filter
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.
All Algorithms implemented in Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
Clone a voice in 5 seconds to generate arbitrary speech in real-time
High-Resolution Image Synthesis with Latent Diffusion Models
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A toolkit for developing and comparing reinforcement learning algorithms.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
Image-to-Image Translation in PyTorch
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Open source platform for the machine learning lifecycle
Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
Stable Diffusion with Core ML on Apple Silicon
Image augmentation for machine learning experiments.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
A paper list of object detection using deep learning.
Style transfer, deep learning, feature transform
Python bindings for FFmpeg - with complex filtering support
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.