dseddah

academic-budget-bert

alpaca.cpp

Locally run an Instruction-Tuned Chat-Style LLM and experiment with it

CoNLL-UL

Universal Morphological Lattices for Universal Dependency Parsing

dense-parser-compile

DepAnnotator

This is a Qt-based C++ software to annotate dependency graph (it was first designed for the annotation of the DeepSequoia but can be used for any dependency annotations)

efficient_instruction_learning

Code base for the paper "Instruction Tuned Models are Quick Learners".

models

Models built with TensorFlow

nextgenllm.github.io

PMUMT_annotated_UGC_corpus-1

reproductionTragedy

Trying to reproduce a result

dseddah/academic-budget-bert

dseddah/alpaca.cpp

Locally run an Instruction-Tuned Chat-Style LLM and experiment with it

dseddah/CoNLL-UL

Universal Morphological Lattices for Universal Dependency Parsing

dseddah/dense-parser-compile

dseddah/DepAnnotator

This is a Qt-based C++ software to annotate dependency graph (it was first designed for the annotation of the DeepSequoia but can be used for any dependency annotations)

dseddah/efficient_instruction_learning

Code base for the paper "Instruction Tuned Models are Quick Learners".

dseddah/models

Models built with TensorFlow

dseddah/nextgenllm.github.io

dseddah/PMUMT_annotated_UGC_corpus-1

dseddah/reproductionTragedy

Trying to reproduce a result

dseddah/spmrl-website

dseddah/UD_French-FQB

French QuestionBank

dseddah/UD_French-FTB

Data from the French Treebank.

dseddah/mstparser

dseddah/ullm_matmul_variants

Tinkering with small LLMs (trying to play with the matmul function in various flavor)