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Large Concept Models: Language modeling in a sentence representation space
A framework for managing and maintaining multi-language pre-commit hooks.
List of computational protein design research labs
scikit-learn: machine learning in Python
Implementation of Pooling by Sliced-Wasserstein Embedding (NeurIPS 2021)
Official Implemetation of DPLM (ICML'24) - Diffusion Language Models Are Versatile Protein Learners
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch
Dirichlet Diffusion Score Model for Biological Sequence Generation.
Official implementation of "Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers"
A concise but complete full-attention transformer with a set of promising experimental features from various papers
Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
Coq is a formal proof management system. It provides a formal language to write mathematical definitions, executable algorithms and theorems together with an environment for semi-interactive develo…
Python toolkit for quantitative finance
A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
[ACL 2024] ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training
Python library to handle Gene Ontology (GO) terms
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Get up and running with Llama 3.3, Phi 4, Gemma 2, and other large language models.
Simple HTML5 Charts using the <canvas> tag
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
