lappalainenj

lappalainenj's Stars

• OpenInterpreter/open-interpreter

  A natural language interface for computers

  Language:Python54.9k4129664.8k

• microsoft/DeepSpeed

  DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

  Language:Python35.3k3452.8k4.1k

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python33.8k47418.8k5.7k

• pola-rs/polars

  Dataframes powered by a multithreaded, vectorized query engine, written in Rust

  Language:Rust30.2k1679k1.9k

• modularml/mojo

  The Mojo Programming Language

  Language:Mojo23.2k2672.2k2.6k

• plotly/dash

  Data Apps & Dashboards for Python. No JavaScript Required.

  Language:Python21.4k4241.8k2.1k

• openai/evals

  Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

  Language:Python15k2622102.6k

• google-research/arxiv-latex-cleaner

  arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

  Language:Python5.3k3453331

• paperswithcode/releasing-research-code

  Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

  2.6k566717

• patrick-kidger/torchtyping

  Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.

  Language:Python1.4k163633

• probml/pml2-book

  Probabilistic Machine Learning: Advanced Topics

  1.4k37348120

• google/tensorstore

  Library for reading and writing large multi-dimensional arrays.

  Language:C++1.4k29159120

• open-mmlab/mmflow

  OpenMMLab optical flow toolbox and benchmark

  Language:Python963772116

• patrickmineault/codebook

  The Good Research Code Handbook

  Language:Python56792137

• AdamCobb/hamiltorch

  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks

  Language:Jupyter Notebook421142163

• CYHSM/awesome-neuro-ai-papers

  Papers from the intersection of deep learning and neuroscience

  39121141

• google-deepmind/treescope

  An interactive HTML pretty-printer for machine learning research in IPython notebooks.

  Language:Python33271417

• SPFlow/SPFlow

  Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks

  Language:Python2891810681

• neurogym/neurogym

  A curated collection of neuroscience tasks with a common interface.

  Language:Python251132750

• ViCCo-Group/thingsvision

  Python package for extracting representations from state-of-the-art computer vision models

  Language:Python15567319

• navis-org/navis

  Python library for analysis of neuroanatomical data.

  Language:Python8279133

• aplbrain/grandiso-networkx

  Performant, pure-Python subgraph isomorphism and monomorphism search (aka "motif search")

  Language:Python55101210

• captain-pool/hydra-wandb-sweeper

  WandB sweeps integration with Hydra sweeper

  Language:Python46476

• jaxleyverse/jaxley

  Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.

  Language:Python4612087

• baumgach/tue-slurm-helloworld

  Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container

  Language:Shell32106

• connectome-neuprint/neuprint-python

  Python client utilties for interacting with the neuPrint connectome analysis service

  Language:Python3184115

• neurodata/graph-stats-book

  Language:Jupyter Notebook265999

• yashsmehta/MetaLearnPlasticity

  Efficient meta learning of synaptic plasticity from experimental data using artificial neural network models.

  Language:Python14501

• htem/FANC_auto_recon

  Code for processing and analyzing the automated reconstruction of the Lee lab's Female Adult Nerve Cord EM dataset

  Language:Python117198

• TuragaLab/stcnn

  spatiotemporal convnet for modeling visual neuron responses

  Language:HTML1200