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Borealis AI
- Vancouver, Canada
- https://durandtibo.github.io/
Stars
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
Dynolog is a telemetry daemon for performance monitoring and tracing. It exports metrics from different components in the system like the linux kernel, CPU, disks, Intel PT, GPUs etc. Dynolog also …
📊 An infographics generator with 30+ plugins and 300+ options to display stats about your GitHub account and render them as SVG, Markdown, PDF or JSON!
😎 A curated list of awesome GitHub Profile which updates in real time
Python tool for converting files and office documents to Markdown.
Simple, modern and fast file watching and code reload for Python, written in Rust
Minimalistic 4D-parallelism distributed training framework for education purpose
Minimalistic large language model 3D-parallelism training
🪄 Create rich visualizations with AI
Exca - Execution and caching tool for python
Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.
Build high-performance AI models with modular building blocks
Implementation of plug in and play Attention from "LongNet: Scaling Transformers to 1,000,000,000 Tokens"
High-resolution models for human tasks.
Piecewise Linear Functions (PWL) implementation in PyTorch
🎨 Diagram as Code for prototyping cloud system architectures
Huly — All-in-One Project Management Platform (alternative to Linear, Jira, Slack, Notion, Motion)
Awesome-LLM: a curated list of Large Language Model
Shapley Interactions and Shapley Values for Machine Learning
Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning).
pix2tex: Using a ViT to convert images of equations into LaTeX code.
PlayStation 4 emulator for Windows, Linux and macOS written in C++
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
Run PyTorch LLMs locally on servers, desktop and mobile