Sayan Nath sayannath
🦍
PhD at University of Calgary | GSoC'21, 22 @tensorflow | Ex @scaleracademy | Contributor @keras-team
- Calgary
-
21:36
(UTC -07:00) - sayannath.tech
- https://orcid.org/0000-0002-5471-6317
- @sayannath2350
- in/sayannath235
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Starred repositories
[ICCV 2025] Region-Aware Text-to-Image Generation via Hard Binding and Soft Refinement 🔥
A CLI to estimate inference memory requirements for Hugging Face models, written in Python.
mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
General plug-and-play inference library for Recursive Language Models (RLMs), supporting various sandboxes.
📄Small Batch Size Training for Language Models
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. Tensor...
[NeurIPS 2025] Tracking and Understanding Object Transformations
Unofficial implementation of Tiny Recursive Model (TRM), improvement to HRM from Sapient AI, by Alexia Jolicoeur-Martineau
A simple yet powerful agent framework that delivers with open-source models
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
[NeurIPS 2025] 4KAgent: Agentic Any Image to 4K Super-Resolution. An intelligent computer vision agent that can magically restore any image to perfect-4K!
Track emissions from Compute and recommend ways to reduce their impact on the environment.
ML has an impact on the climate. But not all models are born equal. Compute your model's emissions with our calculator and add the results to your paper with our generated latex template
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unita...
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
mcp-use is the easiest way to interact with mcp servers with custom agents
Use your Mac trackpad as a weighing scale
DSPy: The framework for programming—not prompting—language models
A collection of various deep learning architectures, models, and tips
Implementation of Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks (ICML 2023 SCIS workshop)
Learn LeetCode and prepare for coding interviews with free resources.
We study the effect of attention head pruning on fairness in large language models