Priyanshu Shekhar Sinha's repositories
Biometric_attendance_system_CNN
Modern attendance System leveraging modern cutting-edge technology of Deep Learning
DataStructure
Data structure practice in python programming language
kaggle_dataset_analysis
Data Analytics and building machine learning models on datasets provided by kaggle
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
sinha96.github.io
My Portfolio
SoTA-from-Scratch
In this Project I will try to implement all the State of The Art Models
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
awesome
😎 Awesome lists about all kinds of interesting topics
Bob_Ross_Paintings
Dataset: All Bob Ross paintings
CNN-from-Scratch
A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset
Getting-Started-with-Google-BERT
Build and train state-of-the-art natural language processing models using BERT
Learn-Natural-Language-Processing-Curriculum
This is the curriculum for "Learn Natural Language Processing" by Siraj Raval on Youtube
LLM-Zero-to-Hundred
This repository contains different LLM chatbot projects (RAG, LLM agents, etc.) and well-known techniques for training and fine tuning LLMs.
NeuroNER
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
PoseNet_js
TensorflowJs
Programming_Interview_Study_Plan
This is the Programming Interview Study Plan by Siraj Raval on Youtube
pyspark-examples
Code examples on Apache Spark using python
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
universal-data-tool
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
WhiteBoard
Proof of Concept (POC) codes to try out different ideas in Machine Learning, Computer Science and Mathematics.