About the Bootcamp

A 3-day Machine Learning Bootcamp organised by Department of Electronics and Communication Engineering, Santhiram Engineering College (SREC) Nandyal in the dates of 25th - 27th November 2021. Team from madBlocks Academy will be joining the session to encourage students to work on Machine Learning applications.

About the Speaker

Madhu Parvathaneni alias MS is a Sloutions Architect at madBlocks ML/AI Group and Director & CEO at Madblocks Technologies Pvt Ltd. He has 10+ years of experience in building IoT products from prototype stage to production stage. He trained more than 1.8 lakh students and 10K+ faculties across India on various cutting-edge technologies like IoT, Machine Learning, Cloud Computing, Augmented and Virtual Reality, Robotics, Blockchain etc...

Softwares

Google Colab (Access Google Colab)
git (Download git)
Python (Download Python)

Day Wise Content

Day - 1:

Introduction to Machine Learning
git software
git commands
Data Pre-Processing Template
Data Gathering Techniques

Telegram Group

https://t.me/+_380Zk3IHHkxNWNl

Subscribe on our Youtube Channel

https://youtube.com/madblockstechnologies

Contact

Reach me on LinkedIn (Maddy)

Official Repo of my work for SREC Nandyal Machine Learning Bootcamp

Related tags

Overview

About the Bootcamp

About the Speaker

Softwares

Day Wise Content

Telegram Group

Subscribe on our Youtube Channel

Contact

Owner

MS

TigerLily: Finding drug interactions in silico with the Graph.

This repository contains the code for: RerrFact model for SciVer shared task

A JAX implementation of Broaden Your Views for Self-Supervised Video Learning, or BraVe for short.

Modification of convolutional neural net "UNET" for image segmentation in Keras framework

Implementing Vision Transformer (ViT) in PyTorch

Repo for EchoVPR: Echo State Networks for Visual Place Recognition

Official Pytorch Implementation of: "Semantic Diversity Learning for Zero-Shot Multi-label Classification"(2021) paper

HGCAE Pytorch implementation. CVPR2021 accepted.

Instance Semantic Segmentation List

Differentiable Abundance Matching With Python

Compute execution plan: A DAG representation of work that you want to get done. Individual nodes of the DAG could be simple python or shell tasks or complex deeply nested parallel branches or embedded DAGs themselves.

The PyTorch implementation of DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision.

Scripts and outputs related to the paper Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings.

Pytorch code for paper "Image Compressed Sensing Using Non-local Neural Network" TMM 2021.

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

Make your own game in a font!

[ICCV 2021] Released code for Causal Attention for Unbiased Visual Recognition

YOLO-v5 기반 단안 카메라의 영상을 활용해 차간 거리를 일정하게 유지하며 주행하는 Adaptive Cruise Control 기능 구현

FOSS Digital Asset Distribution Platform built on Frappe.

Building Ellee — A GPT-3 and Computer Vision Powered Talking Robotic Teddy Bear With Human Level Conversation Intelligence