lemora's Stars
nomic-ai/gpt4all
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
pola-rs/polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
kubernetes/minikube
Run Kubernetes locally
utmapp/UTM
Virtual machines for iOS and macOS
astral-sh/uv
An extremely fast Python package and project manager, written in Rust.
huggingface/datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
deeplearning4j/deeplearning4j
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
numba/numba
NumPy aware dynamic Python compiler using LLVM
Mooler0410/LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
mamba-org/mamba
The Fast Cross-Platform Package Manager
pytorch/captum
Model interpretability and understanding for PyTorch
PAIR-code/lit
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
google-deepmind/alphatensor
rust-bio/rust-bio
This library provides implementations of many algorithms and data structures that are useful for bioinformatics. All provided implementations are rigorously tested via continuous integration.
glumpy/glumpy
Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization
ionelmc/pytest-benchmark
py.test fixture for benchmarking code
python/pyperformance
Python Performance Benchmark Suite
understandable-machine-intelligence-lab/Quantus
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
microsoft/evodiff
Generation of protein sequences and evolutionary alignments via discrete diffusion models
ViennaRNA/ViennaRNA
The ViennaRNA Package
mmagnus/rna-tools
🔧rna-tools: a toolbox to analyze sequences, structures and simulations of RNA (and more) used by RNA CASP, RNA PUZZLES, and me ;-) docs @ http://rna-tools.rtfd.io web @ http://rna-tools.online
jakobnissen/alen
Simple terminal alignment viewer
lrcfmd/ipcsp
Integer Programming encoding for Crystal Structure Prediction with classic and quantum computing bindings
gemfony/geneva
Geneva optimization library
ciw-project-2023/coaler
CoAler = Core Aligner (Multi-Alignment of Molecules)
kofemann/mdbench
simple filesystem metadata operation benchmark
marcom/dss-opt
Dynamics in sequence space optimisation for RNA sequence design
andrew-torda/seq_compat
Given a multiple-sequence alignment, calculate the entropy at each position. Given two such alignments, we can also get the Kullbach-Leibler distance at each position.
andrew-torda/sequtils
Utilities for biological sequences