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30,057 projects in the catalog.
Free Pascal, Lazarus and Delphi components, libraries and programs from GitHub, SourceForge, Codeberg, GitLab and more. Rate them, mark what looks interesting, and talk about them on their benches.
TensorFlow.Delphi (TF.Delphi) provides a Delphi(Pascal) Standard binding for TensorFlow. It aims to implement the complete Tensorflow API in Delphi which allows Pascal developers to develop, train and deploy Machine Learning models with the Pascal Delphi
EVEAI is a Deep Learning Library based on python Keras and Tensorflow. EVEAI dll allows embedding inference images from keras models into user-written applications. Under Windows, the EVEAI training Tool provides services to train user specific image datasets and EVEAI dll provides services to existing Windows applications which support inference images. Please visit https://github.com/Hommoner/EVEAI for more information.
A curated list of awesome Delphi/FreePascal/(any)Pascal frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff. Open source and freeware only!
CAI NEURAL API - Pascal based deep learning neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
VindexLLM is a pure Delphi, GPU-powered LLM inference engine that uses Vulkan compute shaders to run GGUF models entirely on the GPU. It performs full transformer inference without relying on Python, CUDA, or other external runtimes, requiring only vulkan-1.dll, which is typically included with modern GPU drivers.
Delphi 11+ bindings for llama.cpp (b11900+) with full GPU acceleration. Updated from the original Embarcadero fork: new memory API, vocab object, backend loader, CUDA 13, RTX 30xx/40xx/50xx support, Flash Attention, quantized KV cache, Jinja2 chat templates, and multimodal vision inference via the mtmd API.
Fast local AI decisions in Delphi and Free Pascal. A binding for LibLayaX that runs the Laya typed-decision model in-process: no server, no Python. One unit, Laya.pas, with a TLayaAgent class. Windows, Linux and macOS, CPU or GPU, 64-bit. An open-source alternative to Jev
A complete fix for stateful=True, return_sequences=True and batch_input_shape behaviour in Keras4Delphi. Enables reliable training of stateful LSTM models with static batch sizes and proper parameter handling.