Sanyam8055
Hello there, I am an Information Science final year student, interested in Machine Learning and Deep Learning. Open to all opportunities
Bangalore, India
Pinned Repositories
100-Days-of-ML
These 100 days will exclusively focus on the state of the art Machine learning and Deep Learning Models and Implementation of Research papers.
100-Days-of-ML-1
The aim is to revise deep learning, statistics, and learn cutting edge implementations of state of art models
7-Days-of-OOPs
Accident-Detection-System-using-Image-Segmentation-and-Machine-Learning
Bookstore
Bookstore is Website for a virtual store which consists a colllection of 10k books rating and a search tab for the same.
Byte-for-Bait
Byte-for-Bait for NASA Space Apps detecting Forest Fire Using ML models and finally deploying the model on flutter and providing a personalized Bot for the same.
EIP-4.0-
EIP by Inkers.AI is based on Implementing State of the Art Models which including models for Cifar10,MNIST and Randomly Generated Dataset on Humans
highwaysecurity
Highway Security deals with car detection using BG Substraction followed by comparing results at different locations to determine an Accident based on Count Values
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
tensorflow
An Open Source Machine Learning Framework for Everyone
Sanyam8055's Repositories
Sanyam8055/100-Days-of-ML
These 100 days will exclusively focus on the state of the art Machine learning and Deep Learning Models and Implementation of Research papers.
Sanyam8055/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Sanyam8055/tensorflow
An Open Source Machine Learning Framework for Everyone
Sanyam8055/100-Days-of-ML-1
The aim is to revise deep learning, statistics, and learn cutting edge implementations of state of art models
Sanyam8055/7-Days-of-OOPs
Sanyam8055/Accident-Detection-System-using-Image-Segmentation-and-Machine-Learning
Sanyam8055/Bookstore
Bookstore is Website for a virtual store which consists a colllection of 10k books rating and a search tab for the same.
Sanyam8055/Byte-for-Bait
Byte-for-Bait for NASA Space Apps detecting Forest Fire Using ML models and finally deploying the model on flutter and providing a personalized Bot for the same.
Sanyam8055/EIP-4.0-
EIP by Inkers.AI is based on Implementing State of the Art Models which including models for Cifar10,MNIST and Randomly Generated Dataset on Humans
Sanyam8055/addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
Sanyam8055/ai-tutor-website
Sanyam8055/compliance_poc
Check for Compliance Policy Results as per Stripe's Marketing Treasury doc
Sanyam8055/converse
Conversational text Analysis using various NLP techniques
Sanyam8055/Documents_Detection
Sanyam8055/Exam-Buddy
Sanyam8055/face_classification
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
Sanyam8055/Facial-Recognition
Sanyam8055/Finetuned-Math-Ai-LLM
This repository contains code for fine-tuning our favourite SOT i.e.Meta LLaMA-3 8B model using LoRA (Low-Rank Adaptation) on Google Colab. The setup includes mounting Google Drive to save checkpoints and ensuring efficient training using 4-bit quantization and half-precision floating-point operations.
Sanyam8055/glugmvit.github.io
Official blog for GLUG MVIT
Sanyam8055/hack_2019
Hack 2019 Flutter Project
Sanyam8055/llm-ify-bot
Sanyam8055/NoToDoList-App
App To store your notes of what not to do :))
Sanyam8055/Razorpay_hack
Sanyam8055/sanyamsingh.github.io
Sanyam8055/sentiment_analyser
Sanyam8055/shala2020.github.io
Lectures and notes for a summer course on DS, ML, and AI
Sanyam8055/Shala_2020
Revision Machine Learning and Working on some Notebooks
Sanyam8055/streetlights
Sanyam8055/teacher_llm__api
Sanyam8055/The-Complete-FAANG-Preparation
This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.