anuragrs Goto Github PK

active_reading_list

Summary of research papers that I am reading

aws-eks-deep-learning-benchmark

Deep learning benchmark utility and optimization tips on EKS.

books

cocoapi

COCO API - Dataset @ http://cocodataset.org/

deep-learning-models

Deep Learning Models optimized for AWS

deeplearningexamples

Deep Learning Examples

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

hrnet

TensorFlow 2 implementation for HRNetV2

importance-sampling

Code for experiments regarding importance sampling for training neural networks

lime

Lime: Explaining the predictions of any machine learning classifier

loss-landscape

Code for visualizing the loss landscape of neural nets

mask-rcnn-tensorflow

Fork of Tensorpack to make breaking performance improvements to the Mask RCNN example. Training is approximately 2x faster than the original implementation on AWS.

mish-cuda

Mish Activation Function for PyTorch

mmdetection-sagemaker

Training MMDetection CV models on AWS Sagemaker platform

pytorch-hessian-eigenthings

Efficient PyTorch Hessian eigendecomposition tools!

redox

Modern, asynchronous, and wicked fast C++11 client for Redis

s3-benchmark

Measure Amazon S3's performance from any location.

sagemaker_examples

Samples of Sagemaker notebooks that combine popular models and use distributed training and CUDA

scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

tesseract

Tesseract Open Source OCR Engine (main repository)

tf_eager_object_detection

training_results_v0.7

Training v0.7 results

ucl-deep-learning-ans-reinforcement-learning

Deep learning ans Reinforcement learning lecture and course work