Anurag Singh's repositories
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.
cocoapi
COCO API - Dataset @ http://cocodataset.org/
importance-sampling
Code for experiments regarding importance sampling for training neural networks
loss-landscape
Code for visualizing the loss landscape of neural nets
mish-cuda
Mish Activation Function for PyTorch
tesseract
Tesseract Open Source OCR Engine (main repository)
UCL-Deep-learning-ans-Reinforcement-learning
Deep learning ans Reinforcement learning lecture and course work
deep-learning-models
Deep Learning Models optimized for AWS
DeepLearningExamples
Deep Learning Examples
lime
Lime: Explaining the predictions of any machine learning classifier
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.
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.
training_results_v0.7
Training v0.7 results