clott3's Stars
pycalphad/pycalphad
CALPHAD tools for designing thermodynamic models, calculating phase diagrams and investigating phase equilibria.
mattmcdermott/novel-materials-screening
Screening the Materials Project for novel materials to be synthesized by the autonomous laboratory (A-Lab).
snel-repo/neural-data-transformers
EleutherAI/pythia
The hub for EleutherAI's work on interpretability and learning dynamics
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
txie-93/cdvae
An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]
ysymyth/ec-nl
[ICLR 2022] Linking Emergent and Natural Languages via Corpus Transfer
danielchyeh/ImageNet-100-Pytorch
(Pytorch) Training ResNets on ImageNet-100 data
bmsookim/wide-resnet.pytorch
Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch
RayRuizhiLiao/joint_chestxray
Joint learning of chest radiographs and radiology reports
microsoft/LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
facebookresearch/vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
giannifranchi/LP_BNN
This repository contains an official implementation of LPBNN.
bethgelab/stylize-datasets
A script that applies the AdaIN style transfer method to arbitrary datasets
rgeirhos/Stylized-ImageNet
Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)
AnanyaKumar/transfer_learning
Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratch, and testing them on a variety of datasets (transfer learning)
philipjackson/style-augmentation
PyTorch implementation of neural style randomization for data augmentation
facebookresearch/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
alexrame/mixmo-pytorch
Official Pytorch implementation of MixMo framework
fadel/pytorch_ema
Tiny PyTorch library for maintaining a moving average of a collection of parameters.
gpleiss/temperature_scaling
A simple way to calibrate your neural network.
facebookresearch/suncet
Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
IntelLabs/bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
rdangovs/essl
TorchSSL/TorchSSL
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
libffcv/ffcv
FFCV: Fast Forward Computer Vision (and other ML workloads!)
alextamkin/viewmaker
HobbitLong/PyContrast
PyTorch implementation of Contrastive Learning methods
kekmodel/FixMatch-pytorch
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"