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Default set of Data Lab notebooks, by DL team and contributed by users
Run OpenShift 3.x locally | This project does not see active developement and maintenance.
Examples of Machine Learning code using Comet.ml
Turns Data and AI algorithms into production-ready web applications in no time.
Interact with your documents using the power of GPT, 100% privately, no data leaks
Software written to analyze the output of the CAMEL simulations.
Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown
Study material for the CompTIA Security (SYO-601) exam.
Code for Anisotropies in the Microwave Background
Super simple build framework with fast, repeatable builds and an instantly familiar syntax – like Dockerfile and Makefile had a baby.
⚡️ Python client for the unofficial ChatGPT API with auto token regeneration, conversation tracking, proxy support and more.
Classify a coffee based on the image
Searching for galaxies in DSS infrared imaging using DETR
Experiments with satellite image data
Using simple mlp to improve accuracy of low-level statistics-based methods
GO implementation of the Terra Protocol
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
A Python library for creating and simulating large-scale brain models
🔥 The fastest way to build type safe web apps. IHP is a new batteries-included web framework optimized for longterm productivity and programmer happiness
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
A general repo for creating Colab Jupyter notebooks for MLflow tests and issues