transformers

notebooks to finetune `bert-small-amharic`, `bert-mini-amharic`, and `xlm-roberta-base` models using an Amharic text classification dataset and the transformers library

Reward a Language Model with pancakes 🥞

Advance information retrieval system that combines advanced indexing, machine learning, and personalized search to enhance academic research and document discovery.

Tracking exactly what happens to the internal "circuitry" (induction heads) of a 2-layer attention-only Transformer when forced to undergo domain adaptation from prose to structured Python code.

Build and fine-tune your Image Classifier using a Vision Transformer Model from TensorFlow Hub

Detecting fake news articles by analyzing patterns in writing.

An AI powered Video Serach Engine with google's SigLIP and Qdrant. It allows to search objects or key moments in videos just using natural language.

🧠 The Complete Guide to Context Engineering — Research Papers, Blogs, YouTube Videos, Tools & Best Practices for LLM Context Window Optimization

A curated collection of NLP and LLM resources. Covers essential papers and blogs on Transformers, Reinforcement Learning (RLHF, DPO, GRPO), Mechanistic Interpretability, Scaling Laws, and MLSys.

Deep learning models(CNN, LSTM, BERT) for image and text classification task with Tensorflow and Keras

Companion code for the Manning book 'LLM Customization and Fine-Tuning.' Adapt open-weights LLMs end to end: prompting and RAG, LoRA/QLoRA, full SFT, distillation, and DPO/RLHF alignment.

Library for handling atomistic graph datasets focusing on transformer-based implementations, with utilities for training various models, experimenting with different pre-training tasks, and a suite of pre-trained models with huggingface integrations