rasmuspjohansson Goto Github PK
Name: rasmus johansson
Type: User
Location: Denmark
rasmus johansson's Projects
albumentations-multi-channels
Extending albumentations to work for more channels (rgb-nir etc)
coco-viewer
Minimalistic COCO Dataset Viewer in Tkinter
cramming
Cramming the training of a (BERT-type) language model into limited compute.
detectron2
Modifying Detectron2 for training mask-dino on custom dataset
dino_on_windows
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO. Adapted to work on windows
lenet5-with-pytorch-lightning
A pytorch-lightning, MNIST hello world example. Extended to use a pytorch implementation of lenet5
lit-llama
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
llama-adapter
Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
machamp
Repository with code for MaChAmp: https://aclanthology.org/2021.eacl-demos.22/
maskdino
Mask DINO branch, extended with a dockerfile for installation
mnist-with-pygad
A practical example on how to optimize PyTorch models with the pygad library.
multimae
MultiMAE: Multi-modal Multi-task Masked Autoencoders, ECCV 2022
pillow
The friendly PIL fork (Python Imaging Library)
python3_ssdcaffe
Caffe: a fast open framework for deep learning.
rbm_toolbox_lua
Port of RBM_toolbox to lua
torchga
Train PyTorch Models using the Genetic Algorithm with PyGAD
torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021/Spring 2022
vision
Datasets, Transforms and Models specific to Computer Vision
walkwithfastai.github.io
Host for https://walkwithfastai.com
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