T-Almeida
Follow
Stars
Bend 2: a fast language that blocks AI mistakes via proof. Install: curl -fsSL https://bend-lang.com/install.sh | sh
python package for performing sparse-retrieval on accelerated hardware
DSPy: The framework for programming—not prompting—language models
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.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
What would you do with 1000 H100s...
Open-Source Information Retrieval Courses @ TU Wien
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Build realtime web, mobile and desktop apps in Python only. No frontend experience required.
A playbook for systematically maximizing the performance of deep learning models.
Flax is a neural network library for JAX that is designed for flexibility.
Python implementation of Bregman Hard Clustering and Bregman Soft Clustering as a scikit-learn module.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
MIDAS is a multi-framework DataLoader that can be leverage to produce highly efficient data pipelines
BioCreative VII NLM-Chem track: full-text chemical identification and indexing in PubMed articles
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.