FedericoV's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
triton-lang/triton
Development repository for the Triton language and compiler
david-gpu/srez
Image super-resolution through deep learning
tslearn-team/tslearn
The machine learning toolkit for time series analysis in Python
aqlaboratory/openfold
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
webdataset/webdataset
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
atriumlts/subpixel
subpixel: A subpixel convnet for super resolution with Tensorflow
LantaoYu/SeqGAN
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
GPflow/GPflow
Gaussian processes in TensorFlow
google/uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
harvardnlp/pytorch-struct
Fast, general, and tested differentiable structured prediction in PyTorch
ibayer/fastFM
fastFM: A Library for Factorization Machines
dgasmith/opt_einsum
⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
Qwicen/node
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
baldassarreFe/deep-koalarization
Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)
google-research/tensorflow_constrained_optimization
titu1994/tf-TabNet
A Tensorflow 2.0 implementation of TabNet.
ChrisRackauckas/universal_differential_equations
Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
matt-graham/mici
Manifold Markov chain Monte Carlo methods in Python
ziatdinovmax/gpax
Gaussian Processes for Experimental Sciences
aws-samples/amazon-sagemaker-script-mode
Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)
openopt/copt
A Python library for mathematical optimization
aosokin/biogans
Implementation of "GANs for Biological Image Synthesis"
ai-fast-track/timeseries
Time Series package for fastai v2
luckystarufo/pySINDy
SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
Kashu7100/Qualia2.0
Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.
f0uriest/quadax
Numerical quadrature with JAX
pcerda/string_categorical_encoders
Scripts for paper "Encoding high-cardinality string categorical variables"
brentyi/jaxfg
new version: https://github.com/brentyi/jaxls