sooryamsharma

Suryam Sharma's starred repositories

Machine-Learning-Algorithms

Implemented traditional Machine Learning algorithms such as Decision Trees, Random Forest, Dynamic Time Warping, MDPs & reinforcement learning, KNN, Linear and Logistic Regression, Support Vector Machines (SVM), PCA, SVD, K-means clustering and Naive Bayes classifier on UCI datasets.

Language:Python600

kafka-streams-microservices-example

End to End project for Kafka Streams using Spring Cloud Kafka streams

Language:Java5000

demo-scene

👾Scripts and samples to support Confluent Demos and Talks. ⚠️Might be rough around the edges ;-) 👉For automated tutorials and QA'd code, see https://github.com/confluentinc/examples/

Language:ShellApache-2.0146200

DeepFaceDrawing-Jittor

Language:PythonGPL-3.075400

tfjs_webgl_app

Realtime TensorFlow.js + WebGL visualization apps. 3D Hand pose estimation, 3D Human pose estimation, Face swap, Depth estimation, Higher accuracy face detection.

Language:JavaScript38200

pose-animator

Language:JavaScriptApache-2.0870400

lane_detection

Lane Detection algorithm for a Jetson Nano based autonomous vehicle

Language:PythonMIT1600

online-cv

A minimal Jekyll Theme to host your resume (CV) on GitHub with a few clicks.

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remple

A simple jekyll based resume template

Language:CSSMIT2200

interview

Interview questions

Language:JavaApache-2.0300

grokking-the-object-oriented-design-interview

Language:Python416200

coding-interview-university

A complete computer science study plan to become a software engineer.

CC-BY-SA-4.029263200

awesome-django

The Best Django Resource, Awesome Django for mature packages.

NOASSERTION153400

pose-hg-demo

Code to test and use the model from "Stacked Hourglass Networks for Human Pose Estimation"

Language:LuaBSD-3-Clause31600

CVPR15-CFSS

Full version (training+testing) of implementation of Shizhan Zhu et al.'s CVPR-15 work Face Alignment by Coarse-to-Fine Shape Searching

Language:MatlabBSD-3-Clause15600

gccpm-look-into-person-cvpr19.pytorch

Fast and accurate single-person pose estimation, ranked 10th at CVPR'19 LIP challenge. Contains implementation of "Global Context for Convolutional Pose Machines" paper.

Language:PythonApache-2.017000