murthy95 Goto Github PK

0chain

0Chain is a decentralized blockchain-based storage platform with built-in privacy and security compliance. It provides high performance, enforceable SLAs, choice of providers for all enterprise grade applications.

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

blurred-test-cm

colab

ddpg_tf

Dagger implementation on TORCS env. with trained Actor Critic master.

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

dereflection-pix2pix

ecnn

CNN to retrieve edge map of backround from a single scene with reflection.

fastapi-vision

Boilerplate restapi code to deploy containerized ML Vision webserver using FASTAPI

gateway-api

Repository for the next iteration of composite service (e.g. Ingress) and load balancing APIs.

go-waku

Go implementation of Waku v2 protocol

gorm

The fantastic ORM library for Golang, aims to be developer friendly

homework

Assignments for CS294-112.

kube-openapi

Kubernetes OpenAPI spec generation & serving

kubectl

Issue tracker and mirror of kubectl code

kubernetes

Production-Grade Container Scheduling and Management

m2det

M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network

m2det_aws_api

mlp-for-mnist

4 layer MLP for MNIST digit classification.

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

mnist-adversarial-examples

My solutions for DL Assignment on CNNs.

models

Models and examples built with TensorFlow

murthy95

Config files for my GitHub profile.

murthy95.github.io

objectdetection_yolo

paraphrasing-tool

Free paraphrasing tool / article rewriter

real-time-action-recognition

Real-time video classification from webcam feed utilizing NLN

replicate

Version control for machine learning

rl

rocm_pytorch_informations

The official page of ROCm/PyTorch will contain information that is always confusing. On this page we will endeavor to describe accurate information based on the knowledge gained by GPUEater infrastructure development.