Kai Londenberg's repositories
access_example
Some helpful code snippets
Adversarial_Video_Generation
A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
AITemplate
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
colab_tutorials
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021
Conditional_Diffusion_MNIST
Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.
cutlass
CUDA Templates for Linear Algebra Subroutines
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
EternalTerminal
Re-Connectable secure remote shell
fp6_llm
An efficient GPU support for LLM inference with 6-bit quantization (FP6).
homebrew-et
Homebrew formula for Eternal Terminal
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
llvm-project
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
lora
Using Low-rank adaptation to quickly fine-tune diffusion models.
MicroLlama
Micro Llama is a small Llama based model with 300M parameters trained from scratch with $500 budget
nsight-vscode-edition
A Visual Studio Code extension for building and debugging CUDA applications.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
rdkit-tutorials
Tutorials to learn how to work with the RDKit
simpleGEMM
The simplest but fast implementation of matrix multiplication in CUDA.
streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
templight
Templight is a Clang-based tool to profile the time and memory consumption of template instantiations and to perform interactive debugging sessions to gain introspection into the template instantiation process.
torchrl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
x-transformers
A simple but complete full-attention transformer with a set of promising experimental features from various papers