Damien Sicard's Projects
Config files for my GitHub profile.
A curated list of awesome Mojo 🔥 frameworks, libraries, software and resources
Nx-powered Neural Networks
A Machine Learning framework from scratch in Pure Mojo 🔥
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
Learning function operators with neural networks.
The Crystal Programming Language
An offline deep reinforcement learning library
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir
Relax! Flux is the ML library that doesn't make you tensor
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
Interactive data visualizations and plotting in Julia
OpenMMLab Detection Toolbox and Benchmark
The Mojo Programming Language
Owl - OCaml Scientific Computing @ https://ocaml.xyz
Compile your Julia Package
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Physics-Informed Neural networks for Advanced modeling
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Positron, a next-generation data science IDE
Shiny for Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration