Pinned Repositories
aidoodle
testing out AIs in games
citytetris
Tetris with a twist
mink
A neural network library based on tensorflow and with true sklearn compatibility.
ogd
FTRL proximal algorithm according to McMahan et al. 2013
pantangle
Extract the source code from your markup document
peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
pytest-guide
Pytest guide for unittest users
spaghetto
tinytune
Tiny neural network fine-tuning library
versiondispatch
Dispatch functions based on the version of installed packages
BenjaminBossan's Repositories
BenjaminBossan/ogd
FTRL proximal algorithm according to McMahan et al. 2013
BenjaminBossan/tinytune
Tiny neural network fine-tuning library
BenjaminBossan/pytest-guide
Pytest guide for unittest users
BenjaminBossan/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
BenjaminBossan/corona
BenjaminBossan/pantangle
Extract the source code from your markup document
BenjaminBossan/accelerate
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
BenjaminBossan/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
BenjaminBossan/presentations
BenjaminBossan/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
BenjaminBossan/versiondispatch
Dispatch functions based on the version of installed packages
BenjaminBossan/aidoodle
testing out AIs in games
BenjaminBossan/citytetris
Tetris with a twist
BenjaminBossan/api-inference-community
BenjaminBossan/BenjaminBossan
My short profile
BenjaminBossan/bitsandbytes
Accessible large language models via k-bit quantization for PyTorch.
BenjaminBossan/doom
BenjaminBossan/dstoolbox
Tools that make working with scikit-learn and pandas easier.
BenjaminBossan/emacs-config
.emacs.d
BenjaminBossan/emacs-config2
My (improved) Emacs config
BenjaminBossan/gemma
Open weights LLM from Google DeepMind.
BenjaminBossan/inferno
BenjaminBossan/Lasagne
Lightweight library to build and train neural networks in Theano
BenjaminBossan/mops
Testing GitHub Workflow
BenjaminBossan/playground
random stuff
BenjaminBossan/public-presentations
Contains public presentations
BenjaminBossan/scikit-learn
scikit-learn: machine learning in Python
BenjaminBossan/skops
BenjaminBossan/skorch-feedstock
A conda-smithy repository for skorch.
BenjaminBossan/Theano
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.