ykumards

simtorch

PyTorch library to compare similarity between NN representations

kaggle-generative-dogs

Code for Kaggle Generative Dog Images competition's 21st place (top 3%) solution (using Self-Attentive GANs)

.doom.d

.doom.d

ClassyVision

An end-to-end PyTorch framework for image and video classification

dotfiles

emacs-profile-old

latest copy of my emacs profile

emacs.d

An Emacs configuration bundle with batteries included

fast-transformers

Pytorch library for fast transformer implementations

flax

Flax is a neural network ecosystem for JAX that is designed for flexibility.

functorch

functorch is JAX-like composable function transforms for PyTorch.

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

ml_notebooks

mlflow

Open source platform for the machine learning lifecycle

pixel-cnn

pytorch-1

Tensors and Dynamic neural networks in Python with strong GPU acceleration

quickdraw-dataset

Documentation on how to access and use the Quick, Draw! Dataset.

revisit-bert-finetuning

For the code release of our arXiv paper "Revisiting Few-sample BERT Fine-tuning" (https://arxiv.org/abs/2006.05987).

sansformers

Code for "Self-Supervised Forecasting in Electronic Health Records with Attention-Free Models"

sim_metric

stan

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

vision_transformer

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

ykumards

blog-theme

Files needed to replicate my research blog

llama2.c

Inference Llama 2 in one file of pure C

llm.c

LLM training in simple, raw C/CUDA

min-dotemacs

ostep-code

Code from various chapters in OSTEP (http://www.ostep.org)

snomed-ct-entity-linking-runtime

Runtime repository for the SNOMED CT Entity Linking challenge on DrivenData

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.