T-Almeida

T-Almeida's Stars

• HigherOrderCO/Bend

  A massively parallel, high-level programming language

  Language:Rust17.3k427

• ieeta-pt/BioNExt

  A Biomedical Novelty Relation Extractor System

  Language:Python3

• ieeta-pt/SPARe

  python package for performing sparse-retrieval on accelerated hardware

  Language:Python2

• stanfordnlp/dspy

  DSPy: The framework for programming—not prompting—foundation models

  Language:Python17.8k1.4k

• AnswerDotAI/RAGatouille

  Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

  Language:Python3k202

• cmacdonald/pyt_splade

  Language:Jupyter Notebook105

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python12.8k1.1k

• open-webui/open-webui

  User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

  Language:Svelte42.8k5.1k

• ollama/ollama

  Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

  Language:Go93.2k7.4k

• jax-ml/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30.2k2.8k

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python19.8k2.5k

• srush/LLM-Training-Puzzles

  What would you do with 1000 H100s...

  Language:Jupyter Notebook88651

• zzzzz151/AI-text-detector

  Language:Python4

• sebastian-hofstaetter/teaching

  Open-Source Information Retrieval Courses @ TU Wien

  Language:Python59184

• nomic-ai/gpt4all

  GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

  Language:C++70k7.7k

• johnsmith0031/alpaca_lora_4bit

  Language:Python53584

• flet-dev/flet

  Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.

  Language:Python11.1k429

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  26.8k2.2k

• google/flax

  Flax is a neural network library for JAX that is designed for flexibility.

  Language:Python6k639

• juselara1/bregclus

  Python implementation of Bregman Hard Clustering and Bregman Soft Clustering as a scikit-learn module.

  Language:Python42

• jorgeMFS/spttm

  Language:C++11

• ray-project/ray

  Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python33.4k5.7k

• dmlc/dlpack

  common in-memory tensor structure

  Language:Python896134

• bioinformatics-ua/midas

  MIDAS is a multi-framework DataLoader that can be leverage to produce highly efficient data pipelines

  Language:Python6

• google/rax

  Rax is a Learning-to-Rank library written in JAX.

  Language:Python31512

• bioinformatics-ua/biocreativeVII_track2

  BioCreative VII NLM-Chem track: full-text chemical identification and indexing in PubMed articles

  Language:Python7

• meilisearch/meilisearch

  A lightning-fast search API that fits effortlessly into your apps, websites, and workflow

  Language:Rust46.9k1.8k

• bioinformatics-ua/polus

  Language:Python6

• XuehaiPan/nvitop

  An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.

  Language:Python4.7k148

• horovod/horovod

  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

  Language:Python14.2k2.2k