Burn is a next generation Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

A sessionizer for wezterm

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

A multi-platform Nix configuration template optimized for development environment, based on nixos-unified.

Rust bindings for the C++ api of PyTorch.

A nix-based nvim package manager that supports a normal config directory ... that can easily output mulitiple configured packages! (with example config(s) and in-editor help)

Configure Neovim with Nix! [maintainers=@GaetanLepage, @traxys, @mattsturgeon, @khaneliman]

Nix flake for neovim with configuration

A wayland compositor based on ideas from and inspired by xmonad

Minimal, flexible & user-friendly X and Wayland tiling window manager with rust

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Environments for LLM Reinforcement Learning

Article: Functional Declarative Design

List of materials about functional programming in C++

Software Design in Haskell. A structured set of materials. How to build real-world applications in Haskell.

Code and materials for my book "Pragmatic Type Level Design"

Code and materials for my book "Functional Design and Architecture"

大模型后训练文章撰写

Opinionated Arch/Hyprland Setup

A fast, safe, and intuitive DataFrame library.

tokeniser based on BPE

A fast, simple bash prompt.

Personal Nix Home Manager configuration with Nixos-Unified-Template

In the tradition of "awesome" (curated) lists, this is a list of references and code for doing deep learning in Haskell.

Tensors and neural networks in Haskell

CLIP & SigLIP model training from scratch

This repository contains an exhaustive coverage of a hands on approach to PyTorch along side powerful tools to accelerate model tuning and training