Tim Dettmers

ConvE. Convolutional 2D Knowledge Graph Embeddings resources

sparse_learning. Sparse learning library and sparse momentum resources.

transformer-xl. Python

carbonneutral. Resources to calculate how to become a carbon neutral lab.

clusterNet. Deep neural network framework for multiple GPUs

deepnet. Deep neural network implemented with gnumpy/cudamat

spodernet. NLP

crowdflower. Code for the Kaggle crowdflower competition

public-data. Public data from research

GTX970test. Bandwidth tests for the GTX970 to diagnose the memory problem for the last 0.5GB

sched. Schedule GPU jobs over ssh.

bitsandbytes-docs. Library for 8-bit optimizers and quantization routines.

accelerate. 🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

CreditAssignment. Using PageRank to solve credit assignment problems for deep learning contributions.

multigpupy. Multi GPU deep learning library with numpy API

bashmagic. Python

tracker. Tracks time on active windows and other productivity stats.

on-disk-hashtable. On disk hashtable for efficient numerical data fetching

cntk_tutorial. MNIST tutorial data + config files

MachineLearning. Machine learning tests and experiments on the GPU

AutoDL-Projects. Automated deep learning algorithms implemented in PyTorch or Tensorflow.