Damien Sicard's Projects
Config files for my GitHub profile.
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
a Productive Parallel Programming Language
Crystal library for Data Analysis, Wrangling, Munging
The Crystal Programming Language
Flax is a neural network library for JAX that is designed for flexibility.
forward mode automatic differentiation using dual numbers
FreeFEM source code
Deep Learning for humans
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
Scientific computing in pure Crystal
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
A standard framework for modelling Deep Learning Models for tabular data
SHAInet - a pure Crystal machine learning library
A unified framework for machine learning with time series
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow