johnbensnyder

sagemaker-debugger

Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors

amazon-sagemaker-cv

pytorch-examples

sagemaker_lightning

SageMaker training with lots of stuff enabled

aws-neuron-samples

Example code for AWS Neuron SDK developers building inference and training applications

awsome-distributed-training

bertviz

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

complete-javascript-course

Starter files, final projects, and FAQ for my Complete JavaScript course

debugger_demos

diffusers-interpret

Diffusers-Interpret 🤗🧨🕵️‍♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.

GlobEnc

[NAACL 2022] GlobEnc: Quantifying Global Token Attribution by Incorporating the Whole Encoder Layer in Transformers

gridloc_probe

Code, data, and results of COLING 2022 paper Does BERT Rediscover the Classical NLP Pipeline?

llama

Inference code for LLaMA models

machine_learning_examples

A collection of machine learning examples and tutorials.

Megatron-LM

Ongoing research training transformer models at scale

nd013-c2-fusion-starter

Starter Code for the Course 2 project of the Udacity Self-Driving Car Engineer Nanodegree Program

nd013-c5-planning-starter

nd013-c6-control-starter

open_clip

An open source implementation of CLIP.

openfold

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

ScaledYOLOv4

Scaled-YOLOv4: Scaling Cross Stage Partial Network

smd_simple

studio-lab-examples

studio-openfold

SageMaker implementation of openfold

tensorboardX

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

The-C-20-Masterclass-Source-Code

Source code for the C++ 20 Masterclass on udemy

training_results_v2.0

MLPerf™ Training v2.0 results

transformer-contributions

Measuring the Mixing of Contextual Information in the Transformer

udacity_nd013_c3_localization

ultralytics

YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite