JonasAmrich
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A light-weight and powerful meta-prompting, context engineering and spec-driven development system for Claude Code by TÂCHES.
Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services
In-depth code associated with my Medium blog post, "How to Load PyTorch Models 340 Times Faster with Ray"
Python API Client & a command line interface for controlling Rossum
Infinitic is an open source orchestration framework for application teams to build durable and flexible backend processes.
A process for automating Docker container base image updates.
Backstage is an open framework for building developer portals
A personal knowledge management and sharing system for VSCode
Sync files between your local system and a kubernetes cluster.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
A minimal, extensible, fast and productive framework for building HTTP APIs with Python 3.6 and later.
Gin provides a lightweight configuration framework for Python
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
A curated list of awesome Deep Learning tutorials, projects and communities.
A collection of video resources for machine learning
Data Challenge on Autism Spectrum Disorder detection
demos for PyBay talk: Using Randomness to make code faster
A pure Python implementation of Apache Spark's RDD and DStream interfaces.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.