Mahesh Deshwal's repositories
NSE-Stock-Scanner
National Stock Exchange (NSE), India based Stock screener program. Supports Live Data, Swing / Momentum Trading, Intraday Trading, Connect to online brokers as Zerodha Kite, Risk Management, Emotion Control, Screening, Strategies, Backtesting, Automatic Stock Downloading after closing, live free day trading data and much more
yolov7-deepsort-tracking
Modular and ready to deploy code to detect and track videos using YOLO-v7 and DeepSORT
DataScience-StudyMaterial
Just some stuff for Interview questions, books, annotated paper, notes, cheat sheets etc etc related to ML,AI, Deep Learning and Data Science
PHUDGE
Official repo for the paper PHUDGE: Phi-3 as Scalable Judge. Evaluate your LLMs with or without custom rubric, reference answer, absolute, relative and much more. It contains a list of all the available tool, methods, repo, code etc to detect hallucination, LLM evaluation, grading and much more.
ML-Models-from-Scratch
Repo for ML Models built from scratch such as Self-Attention, Linear +Logistic Regression, PCA, LDA. CNN, LSTM, Neural Networks using Numpy only
LInkedin-job-bot
A bot that scrapes your jobs in real time, sort them according to preferences and runs an alert
fastapi-kubernetes
App using Python FastAPI + Mongo + Docker + Elastic + Logstash + Grafana + Prometheus + github actions + Kubernetes (K8)
Image-Processing
3 Part Series to know EVERYTHING about Image Processing using sk-image, PIL and OpenCV
Shelf-product-recognition
Recognise a given product on shelf
all-about-NER
End to end Named entity recognition from EDA (what it means and reflects) to Explainable predictions (how to properly understand results) and ideas on improvements
Complete-Object-Detection-and-Tracking
Object Detection, Object Tracking, Object Counting and more using old school CV algos, OpenCv algos and more advanced YOLOv4, YOLOv3
CURL---cpu-gpu
Unofficial modification for the Paper: CURL: Neural Curve Layers for Global Image Enhancement (ICPR 2020) which supports deploy ready code in CPU and GPU both
image-quality-assessment
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
blog-colab-links
Links to Colab notebooks from my blog, if you have found them somehow or my random experiments
DS-algi-Python
custom DS and Algo implementation with advance Python based functionalities using dunder methods
im2markup
Inspired from the original paper by Stanford's NLP team
LPTN-inference-deploy
Unofficial Modification which supports deploy able code for the paper "High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network"
ML-Helpers
All Helper Functions Ever Needed to build a ML model. Wrapper implementations of EDA, Image Processing, NLP data cleaning and so much more......
NER-Approaches
Multiple NER approaches spacy, Keras Dense Layer, Keras CRF layer, Glove , FastText Embeddings , Attention etc
OCR-Improvement-UNet-Binarization
Image Deskewing, Projection Profile, Binarization using thresholding, Noise removal and Improvement using UNet. Data creation by adding adding Gauss, Salt-Pepper etc Noise, Blurring. Lots more
ScaledYOLOv4
Scaled-YOLOv4: Scaling Cross Stage Partial Network is yolov4-csp. Actual produces erros on CPU so there is a bit modification. There is a small code to build API for newcomers.
text-similarity-approaches
Contains ALMOST Every idea ever that you need to know for finding similarity / duplicate of 2 words, sentences, paragraphs, documents etc
vectordb-recipes
High quality resources & applications for LLMs, multi-modal models and VectorDBs