.com

Digital garden and photography portfolio built using NextJS, Typescript, MDX, Contentful, Stitches, and Radix.

ai-interview

We are building an interface that helps users with a situation by the use of an AI that asks questions on the basis of a code which the aspirant has written, asked from a diverse pack of frequently asked coding questions. Then the AI asks the aspirant questions related to his code and some staple questions. At the end of this experience, the user receives his interview profile showing him his flaws in answering questions, his fluency, and his ability to handle the situation verbally. This can be done on various levels and be stored for future scrutiny by the user. We can also provide a growth curve that helps the aspirant to judge his progress.

android_projects

anime

JavaScript animation engine

ann-churn-modelling

ann-linear

ann-logistic

another-portfolio

Just another random portfolio on the internet. Built using NextJS with all engineering that we know :P

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

asteroid-classification

Classifying asteroids based on NASA JPL data records

astroml

Machine learning, statistics, and data mining for astronomy and astrophysics

autotrain-advanced

🤗 AutoTrain Advanced

awesome-llm

Awesome-LLM: a curated list of Large Language Model

awesome_papers_on_llms_detection

The lastest paper about detection of LLM-generated text and code

brainscope

Brain Tumor Detection, Classification and Segementation. [ViT vs CNN, Mask RCNN]

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

candle

Minimalist ML framework for Rust

captchavision

Captcha Recognizer trained with 6 different datasets using LACC

car-license-plate-preprocessing

pre processing for OCR in license plates

ccpe

A dataset consisting of 502 English dialogs with 12,000 annotated utterances between a user and an assistant discussing movie preferences in natural language. It was collected using a Wizard-of-Oz methodology between two paid crowd-workers, where one worker plays the role of an 'assistant', while the other plays the role of a 'user'. The 'assistant' elicits the 'user’s' preferences about movies following a Coached Conversational Preference Elicitation (CCPE) method. The assistant asks questions designed to minimize the bias in the terminology the 'user' employs to convey his or her preferences as much as possible, and to obtain these preferences in natural language. Each dialog is annotated with entity mentions, preferences expressed about entities, descriptions of entities provided, and other statements of entities.

chat-ui

chatbot-intents

A simple 3-layer NN based model with predefined responses

chatversity

A light-weight,secure,end-to-end encrypted chatting app.

chess_clock

Advanced Chess Clock For Profession Players

chromium

The official GitHub mirror of the Chromium source

cnn-projects

Contains various CNN Projects like mnist, cifar-10, YOLO along with cats and dog classifier with custom images

codehackerone

colonaizer

Semantic Segmentation of colon polyps implemented by U-Nets on CVCclinic database. A Flask API and a GUI app to do real-time detection

comfyui

The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.

computer-vision-into-reality

A computer vision project that can solve a real life problem.