jfainberg
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Repo for programming samples and notebooks used during CapraCon 2024
Cloudstate is a JavaScript database runtime.
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
A JAX research toolkit for building, editing, and visualizing neural networks.
Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive arch…
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Deezer source separation library including pretrained models.
High-performance In-browser LLM Inference Engine
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
Tools for merging pretrained large language models.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Scalable and user friendly neural 🧠 forecasting algorithms.
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
Rust CV mono-repo. Contains pure-Rust dependencies which attempt to encapsulate the capability of OpenCV, OpenMVG, and vSLAM frameworks in a cohesive set of APIs.
Algorithmic Trading in Python with Machine Learning
A collection of LaTeX related stuff that I think is worth sharing
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
skweak: A software toolkit for weak supervision applied to NLP tasks