Popular GitHub Repositories for Subsidy Targeting

DrugGPT: A GPT-based Strategy for Designing Potential Ligands Targeting Specific Proteins

OSSDC Vision AI - a platform for live testing and developing of computer vision and artificial intelligence algorithms targeting robotics, home automation and autonomous vechicles

ai-baselines is a Reinforcement Learning platform for Swift ecosystem targeting AI researchers. It connects to Unity environment via gRPC and allows you to train baseline TensorFlow models.

How to create, train and quantize network, then integrate it into pre/post image processing and generate CUDA C++ code for targeting Jetson AGX Xavier

A Python implementation of the VETTING (Verification and Evaluation Tool for Targeting Invalid Narrative Generation) framework for LLM safety and educational applications.

AI-powered Instagram bot for precise gender targeting using XGBoost and OpenAI ADA, with 91% accuracy at just $0.001 per 1000 queries. Automates follows/unfollows from user lists or photo likes, and checks follow-backs with randomized human-like actions. Ideal for influencers and marketers aiming for targeted engagement.

Accepted by NAACL 2025, GenAI Project with targeting of exploring LLM Hallucination Problem

Deep Q Learning with modifications to learn and complete SNES games. Currently targeting Classic Kong on SNES.

AgentNull is a comprehensive catalog of attack vectors targeting autonomous AI agents, complete with proof-of-concepts for each method. Explore the structured threat information and replicate scenarios using the provided resources. ???

A machine learning project using Colombia’s GEIH household survey to build and evaluate predictive models for identifying subsidy-eligible households, aiming to optimize resource allocation and reduce socioeconomic inequality.

Python implementations for multi-precision quantization in computer vision and sensor fusion workloads, targeting the XR-NPE Mixed-Precision SIMD Neural Processing Engine. The code includes visual inertial odometry (VIO), object classification, and eye gaze extraction code in FP4, FP8, Posit4, Posit8, and BF16 formats.

This repository contains a fully working GCC cross-compiler toolchain targeting the RISC-V architecture, along with a detailed research paper that provides an overview of Instruction Set Architectures (ISAs), the role of compilers, and the RISC-V compilation flow.

An Erlang communication layer and a Java web server as support to horizontal federated learning, targeting KMeans as Machine Learning algorithm.

Nomadcare is an innovative B2B telemedicine solution focused on providing language interpretation services for healthcare, targeting both the US and Portugal markets. The platform addresses real challenges faced by international patients in medical settings, aiming to bridge communication gaps.

This is a machine learning project focused on analysing and classifying sentiments in code-switched and code-mixed text, specifically targeting the unique linguistic characteristics found in Malaysian conversations.

Finalized modular prompt system for advanced job search support with role targeting, company filtering, and metadata structuring.

Modular prompt for company research and remote-friendly job targeting; part of the Atlas Suite.

This project optimizes the LLaMA-3.2B-Instruct model for fast inference on a single NVIDIA T4 GPU (16 GB), targeting high throughput and low perplexity for efficient edge deployment.

Diamond Price Predictor System - A production-ready ML platform that predicts diamond prices using XGBoost with comprehensive MLOps infrastructure. Provides both REST API and web interface for diamond price predictions with 95%+ accuracy, targeting the $87.8B global diamond market.

Built a predictive pipeline to optimize customer targeting for Starbucks promotions.