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Dr. Joao Paulo Schwarz Schuler PRO

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https://www.researchgate.net/profile/Joao-Paulo-Schwarz-Schuler

AI & ML interests

artificial intelligence

Recent Activity

posted an update about 1 month ago
No Cuda - No 4GB of Python Dependencies - Pure Pascal + AVX + OpenCL in a Single Binary
posted an update 4 months ago
**Everyone says Pascal died in the 90s.** Meanwhile, this Free Pascal library runs GPT-style transformers, Mixture-of-Experts, RWKV, xLSTM, spiking neurons, and normalizing flows, natively, with no Python nor CUDA lock-in. These models have been tested and they run in pure Free Pascal: * HuggingFaceTB/SmolLM2-1.7B-Instruct * Qwen/Qwen2.5-{0.5B,1.5B,3B,7B,14B,32B}-Instruct * Qwen/Qwen3-0.6B * Qwen/Qwen3-30B-A3B-Thinking-2507 * TinyLlama/TinyLlama-1.1B-Chat-v1.0 * mistralai/Mistral-7B-Instruct-v0.3 * microsoft/Phi-3-mini-4k-instruct * allenai/OLMoE-1B-7B-0125-Instruct * state-spaces/mamba-130m-hf * openai-community/gpt2 https://github.com/joaopauloschuler/neural-api
reacted to ajibawa-2023's post with 👍 9 months ago
PHP-Code-Large Dataset: https://huggingface.co/datasets/ajibawa-2023/PHP-Code-Large PHP-Code-Large is a large-scale corpus of PHP source code comprising more than 12 million lines of PHP code. The dataset is designed to support research in large language model (LLM) pretraining, code intelligence, software engineering automation, and static program analysis for the PHP ecosystem. By providing a high-volume, language-specific corpus, PHP-Code-Large enables systematic experimentation in PHP-focused model training, domain adaptation, and downstream code understanding tasks. PHP-Code-Large addresses the need for a dedicated PHP-only dataset at substantial scale, enabling focused research across backend systems, CMS platforms, APIs, and full-stack PHP environments.
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