Wiki built using Karpathy method containing information about TPU performance optimizations and hooking it up to autoresearch optimization engine
High-performance Google Colab Notebook for fast & accurate audio transcription/translation using OpenAI Whisper. Accelerated on TPUs with PyTorch/XLA. Features an interactive UI for model selection, multi-language support, and long-form audio processing.
A flexible pipeline for training custom research-scale models on Google Cloud TPUs using PyTorch/XLA
Domain-specialized Gemma 2 27B + Gemma 4 31B for SEC filings — fine-tuned on TPU v6e-8 with PyTorch/XLA FSDPv2, plus a Vertex AI Vector Search RAG demo (69 tickers × 381 filings). Same LoRA recipe, +3.5% / +5.8% BERTScore F1.
NLP Tasks using PyTorch, on Google Cloud TPUs
Fine-tuning EfficientNet-B0 for trash classification on Google Cloud TPUs using PyTorch/XLA.
A reproducible sanity check showing unexpected weak-scaling behavior under data-parallel SPMD on NVIDIA A100 GPUs
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