Pinned Repositories
Art-and-The-Artist
Neural Style Transfer featuring styles of world's greatest artists.
Ashish-Abraham
Config files for my GitHub profile.
awesome-readme
A curated list of awesome READMEs
BARK-ode
ML powered tool to identify 120 breeds of dogs. Network architecture is a ResNet18 fine tuned to classify dogs. Code for fine tuning and feature extraction of other architectures included in scripts.
Casting-Quality-Inspection
Metal Casting Quality Inspection with CNN, built using TensorFlow in Python
Custom-VSCode-CoPilot
Leveraging code LLMs to build and use your own personal coding assistant on VSCode 😎
DocWhisperer-Qdrant
A Retrieval-Augmented Generation (RAG) System for PDF Chat using Qdrant Vector Database.
Live-Face-Detection-Segmentation
Python scripts to detect and segment face using opencv, pixellib. Separate scripts for face detction and instance segmentation using Mask R-CNN and Xception-65.
QueReyDB
RAG (Retrieval Augmented Generation) and vector search to translate natural language into SQL queries for PostgreSQL databases.
Sketch_GAN
[CVPR 2019] SketchGAN: Joint Sketch Completion and Recognition with Generative Adversarial Network
Ashish-Abraham's Repositories
Ashish-Abraham/DocWhisperer-Qdrant
A Retrieval-Augmented Generation (RAG) System for PDF Chat using Qdrant Vector Database.
Ashish-Abraham/Custom-VSCode-CoPilot
Leveraging code LLMs to build and use your own personal coding assistant on VSCode 😎
Ashish-Abraham/awesome-readme
A curated list of awesome READMEs
Ashish-Abraham/BARK-ode
ML powered tool to identify 120 breeds of dogs. Network architecture is a ResNet18 fine tuned to classify dogs. Code for fine tuning and feature extraction of other architectures included in scripts.
Ashish-Abraham/Quality-Control-Hot-Rolled-Steel-Strips
This project aims to automatically detect surface defects in Hot-Rolled Steel Strips such as rolled-in scale, patches, crazing, pitted surface, inclusion and scratches. A CNN is trained on the NEU Metal Surface Defects Database which contains 1800 grayscale images with 300 samples of each of the six different kinds of surface defects.
Ashish-Abraham/Sketch_GAN
[CVPR 2019] SketchGAN: Joint Sketch Completion and Recognition with Generative Adversarial Network
Ashish-Abraham/aarty
A simple CLI tool to convert the images to ASCII art with rust 🦀💙
Ashish-Abraham/Art-and-The-Artist
Neural Style Transfer featuring styles of world's greatest artists.
Ashish-Abraham/Ashish-Abraham
Config files for my GitHub profile.
Ashish-Abraham/Ashish-Abraham.github.io
Checkout my Portfolio 😎
Ashish-Abraham/CAT
[CVPR 2021] Teachers Do More Than Teach: Compressing Image-to-Image Models (CAT)
Ashish-Abraham/citibike-status-app
Ashish-Abraham/Live-Face-Detection-Segmentation
Python scripts to detect and segment face using opencv, pixellib. Separate scripts for face detction and instance segmentation using Mask R-CNN and Xception-65.
Ashish-Abraham/QueReyDB
RAG (Retrieval Augmented Generation) and vector search to translate natural language into SQL queries for PostgreSQL databases.
Ashish-Abraham/Speech-Audio-Filter
Noise suppression from human speech audio using Deep Learning.
Ashish-Abraham/watcha-readin
Get simple insights on the stuff you are reading. Sentiment analysis model built using TensorFlow.
Ashish-Abraham/common-voice-tr-experiments
Our experiments with Common Voice Turkish datasets, colab notebooks with training results.
Ashish-Abraham/coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks;
Ashish-Abraham/Face-Detection-Using-Tensorflow_and_OpenCV
A face detection model build using transfer learning on the MobileNet architecture. The model has then been implemented using openCV to detect faces in live streams.
Ashish-Abraham/generative_inpainting
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
Ashish-Abraham/gradio
Create UIs for your machine learning model in Python in 3 minutes
Ashish-Abraham/Miles_Per_Gallon
Predict fuel consumption of classic vehicles from the 70s and 80s, enabling the user to consider necessary factors during their restoration.
Ashish-Abraham/ML-CaPsule
ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
Ashish-Abraham/opencv
Open Source Computer Vision Library
Ashish-Abraham/resumate-extraction-RESTapi
Django REST API for extracting insights from resumes in PDF format.
Ashish-Abraham/resume-optimizer
Extracting keywords from a job description and looking for them in a resume
Ashish-Abraham/SenseGrass-Task
Ashish-Abraham/snapml-templates
Ashish-Abraham/Tour-Inspirer
Saturday Hacknight OpenAI API
Ashish-Abraham/VectorHub
VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.