nolfwin

nolfwin's Stars

• rasbt/LLMs-from-scratch

  Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook32.9k3521044k

• huggingface/diffusers

  🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

  Language:Python26.2k2024.2k5.4k

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python16.5k1111.1k1.6k

• gkamradt/langchain-tutorials

  Overview and tutorial of the LangChain Library

  Language:Jupyter Notebook6.8k109361.9k

• faridrashidi/kaggle-solutions

  🏅 Collection of Kaggle Solutions and Ideas 🏅

  Language:HTML5k8781.9k

• ResidentMario/missingno

  Missing data visualization module for Python.

  Language:Python4k77134518

• google/uncertainty-baselines

  High-quality implementations of standard and SOTA methods on a variety of tasks.

  Language:Python1.5k2289202

• Mikoto10032/AutomaticWeightedLoss

  Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

  Language:Python58351884

• pyg-team/pytorch-frame

  Tabular Deep Learning Library for PyTorch

  Language:Python543146555

• GT-RIPL/Continual-Learning-Benchmark

  Evaluate three types of task shifting with popular continual learning algorithms.

  Language:Python508151192

• facebookresearch/dadaptation

  D-Adaptation for SGD, Adam and AdaGrad

  Language:Python502112319

• LeoGrin/tabular-benchmark

  Language:Python45482160

• aamini/evidential-deep-learning

  Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

  Language:Python437171697

• dougbrion/pytorch-classification-uncertainty

  This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

  Language:Python4369962

• cccntu/minLoRA

  minLoRA: a minimal PyTorch library that allows you to apply LoRA to any PyTorch model.

  Language:Jupyter Notebook43310829

• ryantibs/conformal

  Tools for conformal inference in regression

  Language:R222191052

• masashitsubaki/QuantumDeepField_molecule

  Quantum deep field for molecule

  Language:Python2064443

• vanderschaarlab/hyperimpute

  A framework for prototyping and benchmarking imputation methods

  Language:Python1654814

• MIDASverse/MIDASpy

  Python package for missing-data imputation with deep learning

  Language:Python13482737

• atomisticnet/aenet

  Atomic interaction potentials based on artificial neural networks

  Language:Fortran116151141

• aamini/chemprop

  Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.

  Language:Python1157115

• tencent-alchemy/Alchemy

  Language:Python115111538

• nyuolab/NYUTron

  public code repository for paper "Health system scale language models are general purpose clinical prediction engines"

  Language:Jupyter Notebook1094215

• pfnet-research/TabCSDI

  A code for the NeurIPS 2022 Table Representation Learning Workshop paper: "Diffusion models for missing value imputation in tabular data"

  Language:Python421454

• anandsaha/nips.cocob.pytorch

  PyTorch implementation of the NIPS'17 paper Training Deep Networks without Learning Rates Through Coin Betting.

  Language:Jupyter Notebook38306

• Nebularaid2000/bottleneck

  PyTorch implementation of the paper "Discovering and Explaining the Representation Bottleneck of DNNs" (ICLR 2022)

  Language:Python37212

• ywatanabe1989/custom_losses_pytorch

  Custom loss functions to use in (mainly) PyTorch.

  Language:Python36243

• optimizedlearning/mechanic

  Language:Python35243

• kyama0321/gammachirpy

  A Python package of the dynamic compressive gammachirp filterbank (dcGC-FB)

  Language:Jupyter Notebook27222

• ant-research/Learning-to-Discover-Various-Simpson-Paradoxes

  SimNet for discover various Simpson's paradoxes (KDD 2023).

  Language:Python5002