aarnetalman

aarnetalman's Stars

• Helsinki-NLP/LLM-course-2024

  Repository for the course Large Language Models and Generative AI for NLP

  Language:Jupyter Notebook1918

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda25k2.8k

• ml-explore/mlx

  MLX: An array framework for Apple silicon

  Language:C++18.2k1k

• probabilisticai/probai-2022

  Materials of the Nordic Probabilistic AI School 2022.

  Language:Jupyter Notebook17128

• GU-CLASP/TypedFlow

  Typed frontend to TensorFlow and higher-order deep learning

  Language:Haskell15613

• nmslib/hnswlib

  Header-only C++/python library for fast approximate nearest neighbors

  Language:C++4.5k668

• kaldi-asr/kaldi

  kaldi-asr/kaldi is the official location of the Kaldi project.

  Language:Shell14.4k5.3k

• FreddeFrallan/Multilingual-CLIP

  OpenAI CLIP text encoders for multiple languages!

  Language:Jupyter Notebook77172

• Helsinki-NLP/OPUS-MT-train

  Training open neural machine translation models

  Language:Makefile34441

• Helsinki-NLP/OpusFilter

  OpusFilter - Parallel corpus processing toolkit

  Language:Python10319

• DmitryKey/bert-solr-search

  Search with BERT vectors in Solr, Elasticsearch, OpenSearch and GSI APU

  Language:Jupyter Notebook16431

• rentruewang/koila

  Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.

  Language:Python1.8k63

• o19s/quepid

  Improve your Elasticsearch, OpenSearch, Solr, Vectara, Algolia and Custom Search search quality.

  Language:Ruby288103

• Helsinki-NLP/nli-data-sanity-check

  Data and scripts for a diagnostics test suite which allows to assess whether an NLU dataset constitutes a good testbed for evaluating the models' meaning understanding capabilities.

  Language:Jupyter Notebook4

• GoogleCloudPlatform/mlops-on-gcp

  Language:Jupyter Notebook7882.7k

• visenger/awesome-mlops

  A curated list of references for MLOps

  12.7k1.9k

• nordcloud/assume-role-arn

  🤖🎩assume-role-arn allows you to easily assume an AWS IAM role in your CI/CD pipelines, without worrying about external dependencies.

  Language:Go558

• GoogleCloudPlatform/tensorflow-without-a-phd

  A crash course in six episodes for software developers who want to become machine learning practitioners.

  Language:Jupyter Notebook2.8k913

• aws-controllers-k8s/community

  AWS Controllers for Kubernetes (ACK) is a project enabling you to manage AWS services from Kubernetes

  2.5k258

• GoogleCloudPlatform/k8s-config-connector

  GCP Config Connector, a Kubernetes add-on for managing GCP resources

  Language:Go906237

• keon/algorithms

  Minimal examples of data structures and algorithms in Python

  Language:Python24.2k4.6k

• Applied-Language-Technology/notebooks

  Interactive Jupyter Notebooks for learning materials

  Language:Jupyter Notebook5135

• Helsinki-NLP/XED

  XED multilingual emotion datasets

  Language:Jupyter Notebook5717

• GoogleCloudPlatform/deploymentmanager-samples

  Deployment Manager samples and templates.

  Language:Jinja949716

• priyankavergadia/google-cloud-4-words

  The Google Cloud Developer's Cheat Sheet

  8k1.9k

• MaartenGr/BERTopic

  Leveraging BERT and c-TF-IDF to create easily interpretable topics.

  Language:Python6.3k775

• aarnetalman/lxmls-toolkit

  Machine Learning applied to Natural Language Processing Toolkit used in the Lisbon Machine Learning Summer School

  Language:Python1

• UKPLab/sentence-transformers

  State-of-the-Art Text Embeddings

  Language:Python15.7k2.5k

• roeeaharoni/unsupervised-domain-clusters

  Code and data accompanying our ACL 2020 paper, "Unsupervised Domain Clusters in Pretrained Language Models".

  Language:Jupyter Notebook594

• google-research/xtreme

  XTREME is a benchmark for the evaluation of the cross-lingual generalization ability of pre-trained multilingual models that covers 40 typologically diverse languages and includes nine tasks.

  Language:Python634111