Pinned Loading
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scaling-llms-distributed-systems
scaling-llms-distributed-systems PublicStudy notes on scaling LLM training, distributed systems, and inference, worked through the JAX scaling book end to end.
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rlhf-from-scratch-on-distilgpt2
rlhf-from-scratch-on-distilgpt2 PublicRLHF pipeline from first principles: SFT, LoRA, reward modeling, PPO, and DPO/IPO/KTO/ORPO/SimPO, unit tested and run end to end on DistilGPT2
Python
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llm-agent-calibration-eval-harness
llm-agent-calibration-eval-harness PublicLLM eval / RL-environment design harness: calibrating agent failure modes across 5 forecasting tasks
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Alameda-vsli-placement
Alameda-vsli-placement PublicGradient-based optimizer for VLSI cell placement: annealed overlap penalty + staged schedule. 2nd place on the par.tcl 2026 ML Systems intern challenge leaderboard (0 overlap, 0.263 wirelength).
Python
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Kenda_Tires_Sales_Forecasting
Kenda_Tires_Sales_Forecasting PublicEnd to end SKU level sales forecasting system built for a tire distributor. LightGBM global model, Croston SBA for intermittent demand, MinT hierarchical reconciliation, and A to D confidence gradi…
Jupyter Notebook
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