pratham grover

The-Accidental-CTO. How I Scaled from Zero to a Million Store on Dukaan, Without a CS Degree. .. A System Design Handbook by Subhash Choudhary

zapi. ZAPI by Adopt AI is an open-source Python library that helps you build tools for AI Agents by automatically capturing network traffic and API calls from web applications.

data-centric-ai. Resources for Data Centric AI

GraphRAG.

grobid. A machine learning software for extracting information from scholarly documents

awesome-low-level-design. Learn Low Level Design (LLD) and prepare for interviews using free resources.

LLM101n. LLM101n: Let's build a Storyteller

XLCoST. Code and data for XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence

concode. Mapping Language to Code in a Programmatic Context

CodeSearchNet. Datasets, tools, and benchmarks for representation learning of code.

indic_nlp_resources. Resources to go with the Indic NLP Library

SUMO.

Climate-Zoo. Shell

NLP4SocialGood_Papers. A reading list of up-to-date papers on NLP for Social Good.

codeditor. Multilingual Code Co-Evolution Using Large Language Models

FairMOT. [IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

awesome-salient-object-detection. A curated list of awesome resources for salient object detection (SOD), focusing more on multi-modal SOD, such as RGB-D SOD.

langwatch. The platform for LLM evaluations and AI agent testing

sycamore. 🍁 Sycamore is an LLM-powered search and analytics platform for unstructured data.

unsloth. Unsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.

CVPR-2023-24-Papers. CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. ⭐ support visual intelligence development!

twitter. AI Agent for Twitter Personality Analysis

llm-course. Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Data-Science-Interview-Questions-Answers. Curated list of data science interview questions and answers

Python-for-Probability-Statistics-and-Machine-Learning. Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

Machine-Learning-with-Python. Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Data-Science-45min-Intros. Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

tfjs-models. Pretrained models for TensorFlow.js

Duplicate-Image-Finder. difPy - Python package for finding duplicate and similar images

segmind-py. Python client for Segmind APIs

transformers. 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

SuperAGI. <⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

reconstruct_pointcloud_ae. This is a simple autoencoder to reconstruct pointcloud

Content-Based-Image-Retrieval-using-Autoencoders-Unsupervised-deep-learning-algorithms. In this study, Autoencoders can be used for finding similar images in an unlabeled image dataset. Specifically this code work with a small training database of 5 common item classes: tom, jerry, building, human faces and some food items. The performance of the algorithms provided are far from perfect, but provide for a good starting point for interested in deep learning image retrieval. Content based image retrieval (CBIR) systems enable to find similar images to a query image among an image dataset. In this code, we used three methods such as convAE, simpleAE and vgg16. In CBIR, images are indexed by their visual content, such as color, texture, shapes. Basically we first extract features from an image database and store it. Then we compute the features associated with a query image. Finally we retrieve images with the closest features.

simple_3d_autoencoder. 3D point cloud auto encoder made compatible with Google Colab

PLPCGC. Patch-wise LiDAR Point Cloud Geometry Compression based on Autoencoder (ICIG 2023)

Point-Cloud-Autoencoder. Autoencoder model for Point Clouds implemented in PyTorch

CanonicalPAE. [NeurIPS'21] This repository is the implementation of "Learning 3D Dense Correspondence via Canonical Point Autoencoder"

pc_autoencoder. Auto Encoder for 3D Point Clouds using ModelNet40 Dataset

3d-AAE. Adversarial Autoencoders for Compact Representations of 3D Point Clouds

pointnet-autoencoder. Autoencoder for Point Clouds

optscale. FinOps and cloud cost optimization tool. Supports AWS, Azure, GCP, Alibaba Cloud and Kubernetes.

Open3D. Open3D: A Modern Library for 3D Data Processing

MLeaksFinder. Find memory leaks in your iOS app at develop time.

mlflow. The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

astroCV. Computer Vision library for Astronomy

super-gradients. Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

data-science-roadmap. Roadmap for Data Science

Full-Stack-Web-Development-Bootcamp-Course. Full-Stack-Web-Development-Bootcamp-Course. This GitHub repository contains the entire curriculum for our Full Stack Web Development Bootcamp Course. The course covers a wide range of subjects, including HTML, CSS, JavaScript, Node.js, Express, React, and MongoDB.

OAProgression. Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data

magnetic-tiles-defect. Demo Computer Vision Project

Computervisionprojects. Computer Vision Projects

CVprojects. computer vision projects | 计算机视觉相关好玩的AI项目（Python、C++、embedded system）

WaterScenes. Official repository for WaterScenes dataset

Summer2026-Internships. Summer 2026 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.

Awesome-Diffusion-Models. A collection of resources and papers on Diffusion Models

Python. Jupyter Notebook

Annotated-Vision-Papers. Repo contains the papers of Computer Vision - annotated. Classic ones to Latest ones

penn-neurips2022. PENN code for NeurIPS 2022

3D-ORGAN. Code for paper: "3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Network"

deepgaze. Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

computervision-recipes. Best Practices, code samples, and documentation for Computer Vision.

awesome-computer-vision. A curated list of awesome computer vision resources

List-Of-Open-Source-Internships-Programs. A curated list of all the open-source internships/Programs

voltaML. ⚡VoltaML is a lightweight library to convert and run your ML/DL deep learning models in high performance inference runtimes like TensorRT, TorchScript, ONNX and TVM.

RSNA-Pneumonia-Detection-Challenge-master. Faster R-CNN for RSNA-Pneumonia-Detection-Challenge Dataset by Keras Introduction In this competition, you’re challenged to build an algorithm to detect a visual signal for pneumonia in medical images. Specifically, your algorithm needs to automatically locate lung opacities on chest radiographs. The original code of Keras version of Faster R-CNN I used was written by yhenon (resource link: GitHub .) He used the PASCAL VOC 2007, 2012, and MS COCO datasets We have modified the problem statement for our personal learning purpose We consider only those images which has lables coordinate in stage_2_train_labels.csv For me, I just used the RSNA-Pneumonia-Detection-Challenge Dataset for lungs capacity . I applied configs different from his work to fit my dataset and I removed unuseful code. #Project Structure dcm to jpg .ipynb is the file to tranfom .dcm to jpg images in train and test floder preposessing.ipynb is the file to preprocessing the (stage_2_train_labels.csv ) we have drop the values which doesnot conatin any coordinate values ( 0004cfab-14fd-4e49-80ba-63a80b6bddd6,,,,,0 ) I run this part by my own computer because of no need for GPU computation. frcnn_train_vgg.ipynb is the file to train the model. The configuration and model saved path are inside this file. frcnn_test_vgg.ipynb is the file to test the model with test images and calculate the mAP (mean average precision) for the model. for training we have used GTX 1650 with 4 gb ram and for 40 epoch it's taken 60 hours approx Base Model Vgg16 Its a one stage faster rcnn tranning model You can dowload the data set from kaggle compition https://www.kaggle.com/c/rsna-pneumonia-detection-challenge

kafka-streams-machine-learning-examples. This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

List-of-all-Research-Internship-Program-for-IIT-and-NITs. This contains the list of almost all the internship available for Indian college students.

ALZHEIMERS-PREDICTION-CNN. This Machine Learning course project is on 3D MRI image analysis for Alzheimer's disease prediction. Transfer Learning is used for classification and analysis of images.

STAT5_GAS-project-. Python

opencv-runway-apron-crack-detection. OpenCV based Runway / Apron / Roads Crack Detection

ivy. Convert Machine Learning Code Between Frameworks

Andrew-NG-Notes. This is Andrew NG Coursera Handwritten Notes.

Alzheimers-Disease-detection-using-MRI-scans-and-Deep-CNNs. Alzheimer's Detection based on Demented and Mild Demented scans using Transfer Learning algorithms: VGG19, NasNetLarge, Inception_V3, and Xception.

Alzheimers-Disease-Detection. Implementation of an Alzheimer's Disease detection system using Deep Learning on MRI images from a Kaggle Dataset.

Alzheimers_Disease_Detection_Using_Deep_Learning. This project aims to detect Alzheimer's Disease from the MRI scans ( in .nii extension) given as input. It involves several pre-processing steps such as skull stripping, bias correction and segmentation. Once the segmentation is completed, three 2D slices (axial, coronnal, saggital) are extracted from the segmented MRI Image. In this manner the dataset is prepared which is used for training the model.

Object-and-Walkable-Path-Detection. Object detection is a technique in computer vision that lets us locate and identify objects in an image or video. This kind of identification and localization via object detection allows us to count objects in a scene and determine and track their precise locations, all while accurately labeling them. In this paper, we have described the implementation of an object detection API using SSD inception to detect obstacles in a path. After the objects are detected, the user is presented with navigation commands and conditions. The scope of the paper covers how the corresponding walkable path is planned according to the detected obstacles and this project can be used as an application for navigation assistance for the blind and as well as robots.

Python-for-Genomic-Data-Science. Jupyter Notebook

zenml. ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

PythonVerbalExpressions. Python regular expressions made easy

Tensorflow-Programs-and-Tutorials. Implementations of CNNs, RNNs, GANs, etc

ASL_to_English. Reads your hand signs and translates them to English words using Tensorflow object detection API

awesome-public-datasets. A topic-centric list of HQ open datasets.

interactive-coding-challenges. 120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

pdoc. API Documentation for Python Projects

ML-ProjectKart. 🙌Kart of 234+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.

Data_Preprocessing_Techniques. ⚒️ Data preprocessing is the process of transforming raw data into an understandable format. It is also an important step in data mining as we cannot work with raw data. The quality of the data should be checked before applying machine learning or data mining algorithms

Machine-Learning. This repository contains implementations of all Machine Learning Algorithms from scratch in Python. Mathematics required for ML and many projects have also been included.

tensorflow-deep-learning. All course materials for the Zero to Mastery Deep Learning with TensorFlow course.