Pinned Repositories
CAAFE
Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering" by Hollmann, Müller, and Hutter (2023).
PFNs
Our maintained PFN repository. Come here to train SOTA PFNs.
PFNs4BO
The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
TabPFN
Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.
TransformersCanDoBayesianInference
Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
trivialaugment
This is the official implementation of TrivialAugment and a mini-library for the application of multiple image augmentation strategies including RandAugment and TrivialAugment.
CodePrediction
This project shows how to use an attention-enabled pointer network for code prediction.
DrugBankParsePython
Drugbank Parse in Python
LotteryTicketHypothesis-TensorFlow
Implementation of the most important parts of the Lottery Ticket Hypothesis Paper
sqlbpe
The implementation for the paper `Byte-Pair Encoding for Text-to-SQL Generation`.
SamuelGabriel's Repositories
SamuelGabriel/sqlbpe
The implementation for the paper `Byte-Pair Encoding for Text-to-SQL Generation`.
SamuelGabriel/LotteryTicketHypothesis-TensorFlow
Implementation of the most important parts of the Lottery Ticket Hypothesis Paper
SamuelGabriel/DrugBankParsePython
Drugbank Parse in Python
SamuelGabriel/CodePrediction
This project shows how to use an attention-enabled pointer network for code prediction.
SamuelGabriel/BayesGeneralizations
SamuelGabriel/DSLApproachToARC
A bayesian approach to Chollet's ARC tasks, DSL is only very initial
SamuelGabriel/pytorch-randaugment
Unofficial PyTorch Reimplementation of RandAugment.
SamuelGabriel/samlib
SamuelGabriel/Adam-experiments
Experiments with Adam/AdamW/amsgrad
SamuelGabriel/Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
SamuelGabriel/backpack
BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
SamuelGabriel/blog
SamuelGabriel/fastKLBPE
Fast BPE
SamuelGabriel/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
SamuelGabriel/ManualImageClassifier
Label an image set. Fast.
SamuelGabriel/markout
Present your STDOUT beautifully with Markdown.
SamuelGabriel/neural_testbed
SamuelGabriel/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
SamuelGabriel/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
SamuelGabriel/tensorflow
An Open Source Machine Learning Framework for Everyone
SamuelGabriel/text2sql-data
A collection of datasets that pair questions with SQL queries.
SamuelGabriel/vision
Datasets, Transforms and Models specific to Computer Vision
SamuelGabriel/XLM
PyTorch original implementation of Cross-lingual Language Model Pretraining.