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cdac_nvidia_accelereted-computing-with-cuda

These are codes from a series of workshops called "Accelerated Computing with CUDA" organized by CDAC ( Centre for Development of Advanced Computing, Govt of India) . The workshops were taken by Nvidia Deep Learning Institute ( https://www.nvidia.com/en-in/training/online/ )

computer-vision

Computer Vision

cs5480-deep-learning--iit-hyd-dl-n-cv-projects

Couse Code CS5480 : Deep Learning. IIT Hyderabad Projects in Computer Vision & Deep Learning as part of my MTech in Data Science assignments

cs5500-iit-hyd-reinforcement-learning-rl

IIT Hyd CS5500 - Reinforcement Learning - RL Algorithms like DQN, Policy Gradients, DDPG on games like Mountain Car , Pong, Lunar Lander etc

cs5590_and_ee5605_iit-h_machine-learning-and-kernel-methods

This repository contains the assignments for below courses 1. CS5590 - Foundations of Machine Learning , 3 CREDITS, IIT Hyderabad , 2021 July-Dec. 2. EE5605 - Kernel Methods, 1 CREDIT, IIT Hyderabad, July-Dec 2022

cs5803_iit-hyd_natural-language-processing-nlp-

*WIP* - The codes will be added post the announcement of grades. This contains Named Entity Recognition project I did as part of CS5803 - Natural Language Processing (NLP) coursework at IIT Hyd during Jan-April 2023

cs6013-iit_hyd-advanced-data-structures-and-algorithms

This contains selected assignments from CS6013 - Advanced Data Structures and Algorithms at IIT Hyderabad, July-Dec 2021

it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

kaggle-projects

machine-learning

ml-hackathons

Hackathon

natural-language-processing

openai_llm_usecases_with_langchain_n_vector_db

LLM_usecases_with_LangChain_n_Vector_DB. 1. Translation & Summarization

opencv

Open Source Computer Vision Library

picie

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

pytorch_objectdetecttrack

Object detection in images, and tracking across video frames

test_for_git_practice

vit-pcm

Official implementation of "Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation"