Coding & Development

The National Center of Artificial Intelligence (NCAI) UET Peshawar, operating under CISNR, is dedicated to building national capacity in Artificial Intelligence. It serves as a hub for R&D, empowering researchers, developers, and engineers to innovate modern solutions for complex problems. The center focuses on conducting research in various AI fields, aiming to prevent and minimize natural and man-made disasters through data intelligence. NCAI also emphasizes the development of innovative designs and intelligent systems, contributing to sustainable development goals by balancing safety, economic growth, and environmental management through accurate data acquisition and technology.

IBM federated learning is a Python framework designed for federated learning (FL) in enterprise settings. This library facilitates distributed machine learning processes where participant nodes retain their data locally, interacting through a learning protocol. It addresses critical concerns such as privacy, confidentiality, and regulatory compliance by avoiding the need to centralize data. The framework supports various machine learning models, including Deep Neural Networks (DNNs) and classic techniques like linear regression and k-means, encompassing supervised, unsupervised, and reinforcement learning approaches. It offers a wide array of fusion algorithms for combining model updates and includes fairness techniques to mitigate bias. The library is highly configurable for different computational environments, from data centers to edge devices, and is extensible to work with various ML libraries and protocols. An Experiment Manager Dashboard is also provided for orchestrating FL experiments.

FederatedScope is a comprehensive and easy-to-use federated learning platform designed for both academic research and industrial applications. It offers flexible customization for a wide range of federated learning tasks, integrating rich functionalities through an event-driven architecture. The platform supports various applications including federated learning in computer vision (CV), natural language processing (NLP), and graph federated learning (GFL). It provides a DataZoo for automatic dataset download and preprocessing, and a ModelZoo with implementations of widely adopted model architectures. Users can run tasks in both standalone and distributed modes, with options for customized datasets and models.

Hidet is an open-source deep learning compiler, primarily written in Python, designed to enhance the efficiency of deep neural network (DNN) models. It facilitates the end-to-end compilation of models from popular frameworks like PyTorch and ONNX into highly optimized CUDA kernels. The framework applies a series of graph-level and operator-level optimizations to significantly improve performance, particularly for inference workloads on NVIDIA GPUs. Hidet requires a Linux operating system, CUDA Toolkit 11.6+, and Python 3.9+ for operation. It can be easily installed via pip or built from source, offering flexibility for developers. The project is actively developed by a team at CentML Inc. and is released under the Apache 2.0 license.

Hertz Dev is a base model designed for mono-channel completion, hosted as a Hugging Face Space by si-pbc. While the live website content indicates a build error, suggesting it may not be fully operational at the moment, its intended purpose is to provide foundational AI capabilities for code-related tasks. As a base model, it likely offers core functionalities that can be integrated into larger systems or used for specific development needs. The tool is accessible through Hugging Face, making it part of a community-driven platform for AI models and applications. Its availability free of charge makes it an accessible resource for developers and researchers exploring AI-powered code completion.

FLUX LoRA DLC2 is a comprehensive collection of over 100 impressive LoRA models specifically designed for Flux. This tool, hosted on Hugging Face, allows users to easily generate images by typing a description and optionally selecting a LoRA style. It simplifies the process of customizing and fine-tuning AI models for various creative and AI-related tasks. The platform is accessible via a web interface, making it convenient for users to explore and utilize these diverse models to produce pictures that align with their textual prompts and chosen aesthetic.

The Indic NLP Library is a Python-based open-source project designed to provide resources and tools for Natural Language Processing (NLP) in various Indian languages. Recognizing the shared linguistic characteristics among Indian languages, this library offers a unified solution for common text processing needs. Key functionalities include text normalization, script information extraction, word tokenization and detokenization, sentence splitting, word segmentation, syllabification, script conversion, and Romanization/Indicization. It is built for Python 3.x and requires external data resources from the Indic NLP Resources project. The library is actively maintained and provides both a Python API and a command-line interface for ease of use, making it a valuable asset for developers and researchers working with Indian language data.

google/gemma-3-270m is a Hugging Face Space that enables users to engage with the Gemma 3 (270M) Large Language Model. This tool, developed by Hadad Darajat, runs on Ollama using a quad-core CPU, offering a local-first experience for experimenting with the Gemma model. Users can input text prompts to initiate conversations and fine-tune various generation parameters, including context length, maximum tokens, and temperature, to customize the LLM's behavior. While the Space is currently paused, it is designed for developers, AI enthusiasts, and researchers interested in exploring the capabilities of the Gemma 3 (270M) model in a controlled environment.

The Human & GPT-4 Evaluation of LLMs Leaderboard is a Hugging Face Space designed to benchmark and compare the performance of various Large Language Models (LLMs). It leverages both human and GPT-4 evaluations to provide a comprehensive assessment of AI model quality and capabilities. This open-source tool is valuable for researchers, developers, and data scientists who need to understand the strengths and weaknesses of different LLMs. While the live website currently displays a runtime error, the intent of the project is to offer a transparent and accessible platform for tracking advancements in LLM technology, aiding in the selection and development of more effective AI solutions.

InferBench offers a comprehensive leaderboard for various text-to-image inference providers, allowing users to compare their performance across key metrics such as quality, speed, and cost. This tool is designed to help users make informed decisions when selecting an optimal inference provider for their specific needs. It displays data on providers like FLUX and others, enabling a clear overview of the market. By presenting a transparent comparison, InferBench assists AI developers and machine learning engineers in evaluating and choosing the most suitable services for their projects, optimizing both performance and budget.

IDCardRecognition is an AI-powered tool hosted on Hugging Face that simplifies the process of extracting information from various identification documents. Users can upload front and back images of ID cards, passports, or driver licenses, and the application will automatically read and extract key details. This includes essential data such as the individual's name, the document number, and the expiry date, presented in a clear and organized format. This tool is ideal for automating data entry and verification processes, offering a streamlined solution for tasks requiring quick and accurate identification data extraction.

jetson-reinforcement offers deep reinforcement learning GPU libraries specifically designed for NVIDIA Jetson TX1/TX2 devices. It integrates with PyTorch, OpenAI Gym, and the Gazebo robotics simulator, enabling developers to create artificially intelligent agents that learn from interacting with their environment. The tool supports end-to-end neural networks that translate raw pixels into actions, facilitating the development of agents capable of intuitive behaviors and complex tasks. It includes discrete Deep Q-Learning (DQN) and continuous A3G algorithms in PyTorch, along with a C++ interoperability library API for integrating with Linux applications in robotics, simulation, and deployment. This allows for training agents in virtual robotic simulations and transferring them to real-world robots.

Kaz LLM Leaderboard is a platform designed for evaluating Large Language Models (LLMs) specifically tailored for the Kazakh language. Users can submit benchmark results for various Kazakh language models in a standardized JSON format. The application then compiles these results into a comprehensive leaderboard, enabling researchers and developers to compare the performance of different LLMs. This tool is valuable for tracking advancements in Kazakh LLM development and identifying top-performing models for specific tasks. It serves as a centralized hub for the Kazakh AI community to share and assess their work.

Semorai GmbH provides an Engineering AI Suite designed to enhance mechanical engineering processes. This suite acts as an 'App Store' for specialized AI agents, offering reliable support by integrating extensive engineering knowledge with a company's unique expertise. The platform aims to significantly accelerate engineering workflows through advanced AI capabilities. It is built to provide robust assistance in complex engineering tasks, ensuring that companies can leverage AI to improve efficiency and decision-making in demanding environments.

LLM-Viewer is a comprehensive tool designed for visualizing and analyzing the performance of Large Language Models (LLMs) across various hardware platforms. It provides in-depth network-wise analysis, allowing users to understand critical factors such as peak memory consumption and total inference time cost. The tool supports both a user-friendly web interface for easy configuration and visualization, and a command-line interface (CLI) for more programmatic use. LLM-Viewer helps users gain valuable insights into LLM inference and optimize performance by considering computation, storage, transmission, and hardware roofline models. It's an ongoing project with plans for expanded hardware and LLM compatibility.

La Leaderboard is an open-source tool hosted on Hugging Face Spaces, designed for evaluating and comparing the performance of large language models (LLMs). Its primary focus is on models that support languages spoken in Latin America and Spain, providing a crucial resource for researchers and developers working with these linguistic contexts. Users can access detailed leaderboard tables to view and compare model scores across different tasks, facilitating informed decisions on model selection and development. The platform aims to foster transparency and progress in multilingual LLM research by offering a standardized evaluation framework.

LLM Guard Playground is an AI security tool hosted on Hugging Face Spaces, developed by Protect AI. It provides an interactive environment for users to explore and assess the security of large language models. The platform allows for viewing and interacting with data applications, enabling users to experiment with various security measures and identify potential vulnerabilities within LLMs. While the current live website indicates a build error, the tool's intent is to offer a playground for security research and development related to AI models. It is available for free, making it accessible for developers and researchers interested in LLM security.

Loglizer is an open-source machine learning toolkit designed for automated anomaly detection and intelligent fault diagnosis based on system logs. It provides a comprehensive framework that includes log collection, log parsing (leveraging the logparser project), feature extraction, and anomaly detection. The toolkit implements various machine learning models, including both supervised (LR, Decision Tree, SVM) and unsupervised (LOF, One-Class SVM, Isolation Forest, PCA, Invariants Mining, Clustering) approaches. Loglizer is particularly useful for developers and data scientists who need to monitor system operations, track abnormal behaviors, and proactively identify errors within complex software systems. It offers a practical solution for analyzing large volumes of log data to ensure system reliability and performance.

SamvidDhi is a technology solutions provider specializing in software development and IT services. The company offers a comprehensive suite of services, including the development of android, iOS, and web applications. Beyond core development, SamvidDhi also provides expertise in DevOps practices, cloud solutions, and blockchain technologies. A key focus is on integrating artificial intelligence and offering data science consulting to help businesses optimize existing processes and solve complex problems through innovative technological approaches. SamvidDhi aims to deliver tailored solutions that leverage cutting-edge technology to meet diverse client needs.

ChatPuma is an AI-powered no-code chatbot builder platform designed to transform customer service by providing personalized interactions built on your business data. It enables businesses to save up to 90% on manual customer support while boosting engagement. Users can create and deploy chatbots to their website in minutes, without any coding skills. The platform allows training chatbots on various data sources like web pages and documents, offering 24/7 automated support, reduced response times, and personalized customer experiences. ChatPuma also helps reduce operational costs, scale support effortlessly, and provides valuable insights from customer data analytics. It supports over 100 languages and offers brand customization.

SingularityNET is a pioneering platform dedicated to building a decentralized AI infrastructure, fostering the development of Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI). It offers several key components, including ASI:Chain, an AI-native Layer-1 blockchain for secure interoperability and scalable consensus; ASI:Create, a launchpad for developers to build, fund, and deploy AI agents; and ASI:Cloud, providing AI and GPU cloud services for builders and enterprises. The platform also supports open research initiatives for beneficial AGI/ASI and is a founding member of the Artificial Superintelligence Alliance. SingularityNET utilizes the FET (ASI) token to power its ecosystem, enabling access to AI services, governance participation, and network security.

MADRL is a repository offering code for multi-agent deep reinforcement learning (MADRL), providing implementations of several multi-agent reinforcement learning environments. These include Pursuit Evasion, Waterworld, Multi-Agent Walker, and Multi-Ant. The package requires OpenAI Gym and a forked version of rllab (the multiagent branch) for its functionality. It is designed for researchers and developers in the field of multi-agent reinforcement learning, allowing them to set up and run simulations with curriculum learning. The project also provides details on policy definitions and includes a citation for its accompanied paper, making it a valuable resource for academic and practical applications in MADRL.

LLM Gateway is an open-source API gateway designed to streamline the management and analysis of Large Language Model (LLM) requests. It acts as a middleware between applications and various LLM providers, including OpenAI, Anthropic, and Google Vertex AI. Key functionalities include routing requests to different providers, centralizing API key management, and tracking token usage and costs. The platform also provides performance monitoring and usage analytics to help users optimize their LLM interactions. It offers a unified API interface compatible with the OpenAI API format for seamless integration and supports both hosted and self-hosted deployment options.

Aidia is a leading software house dedicated to developing advanced AI and Cloud Software solutions specifically for the B2B market. They emphasize innovation, reliability, and cutting-edge technology to support business growth. Aidia's expertise spans various areas including Artificial Intelligence, Cloud Software, Big Data, and UX/UI Design. They collaborate closely with partners to seamlessly integrate advanced technology into existing environments, ensuring concrete results and sustainable competitive advantage. The company aims to bring the future to Italian businesses through their problem-solving approach with AI, offering solutions that range from AI and cybersecurity to digital architectures in manufacturing.