nevakrien Goto Github PK

academic-budget-bert

runing the repo

ai_secretary

ai_secretary2

babys_first_cuda

my first attempt at cuda

batched_io

a

bert_pretrain

simple bert pretrain on intel hardware

chatbot_with_vectordb

a simple implementation of knn prompt engineering

contrastors_xpu

Train Models Contrastively in Pytorch

drone-navigation-inspection

AI Starter Kit for AI applications in Drone technology using Intel® Optimized Tensorflow*

erlang_games

first-repositorty

just a dumby repositry to play with

functional_c

why not? its not practical but its fun

genetic_compression

a small expirement with compression of very short texts.

hebert_xpu

HeBERT: xpu

hebrew_document_search

hebrew_search_pg

using pgvector to have knn search over a medium-large dataset

hello_wgpu

hello world for gpu programing in rust

hpcgpt

benchmarking TinyGPT and improving its preformance.

intel_chatbot_educational

exmple build of a chatbot with openvino

intel_train_polycoder

kvcache-pubsub

Redis, but in Zig

latentspace

Latent space refers to an abstract multi-dimensional space containing feature values that we cannot interpret directly, but which encodes a meaningful internal representation of externally observed events. The latent space is simply a representation of compressed data in which similar data points are closer together in space. I plotted Latent Space

lmppl_code

Calculate perplexity on a text with pre-trained language models. Support MLM (eg. DeBERTa), recurrent LM (eg. GPT3), and encoder-decoder LM (eg. Flan-T5).

merge_heap

this is for a school project I am choosing c for extra fun points

mixtral_intel

runing mixtral model on intel hardware

mojo-ffi

nllb_translation

getting the best I can from the translation model using some extra tricks

nlp-generation-educational

this is here as a link to the colab notebook https://colab.research.google.com/drive/1ciujWLifP0YEPFu4WpVx4dkAPb2RX1Hm?usp=sharing

ompify

small change idea

oom

stress testing machines by alocating memory