alyakin314's Stars
haotian-liu/LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
SpaceVim/SpaceVim
A modular Vim/Neovim configuration
ankitects/anki
Anki's shared backend and web components, and the Qt frontend
facebookresearch/nougat
Implementation of Nougat Neural Optical Understanding for Academic Documents
huggingface/accelerate
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
btcsuite/btcd
An alternative full node bitcoin implementation written in Go (golang)
mlfoundations/open_flamingo
An open-source framework for training large multimodal models.
LLaVA-VL/LLaVA-NeXT
PythonOT/POT
POT : Python Optimal Transport
raphaelvallat/pingouin
Statistical package in Python based on Pandas
microsoft/LLaVA-Med
Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.
VSpaceCode/VSpaceCode
Spacemacs like keybindings for Visual Studio Code
lucidrains/flamingo-pytorch
Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch
sknetwork-team/scikit-network
Graph Algorithms
yearn/yearn-protocol
Yearn smart contracts
PathologyFoundation/plip
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
dhansmair/flamingo-mini
Implementation of the deepmind Flamingo vision-language model, based on Hugging Face language models and ready for training
nyuolab/NYUTron
public code repository for paper "Health system scale language models are general purpose clinical prediction engines"
adriennekline/psmpy
propensity score matching in python
neurodata/brainlit
Method container for computational neuroscience on brains.
neurodata/graph-stats-book
llemr-conspiracy/llemr
A lightweight medical records system for free clinics.
coinbase/btcexport
Export process for Bitcoin blockchain data to CSV
graspologic-org/graspologic-native
graspologic-native is a library of rust components to add additional capability to graspologic a python library for intelligently building networks and network embeddings, and for analyzing connected data.
neurodata/nd_ed
Collection of educational resources. Primarily focused on skills that are helpful in the NeuroData lab or the Neuro Data Design course at Johns Hopkins University.
alyakin314/lqrt
Robust Hypothesis Testing of Location Parameters using Lq-Likelihood-Ratio-Type Test in Python
alyakin314/correcting-nonpar
Supplementary Material for the "Correcting a Nonparametric Two-sample Graph Hypothesis Test for Graphs with Different Numbers of Vertices"
alyakin314/hpv-immunogenicity
Supplementary Material for the "Commensal HPVs have evolved to be more immunogenic compared with high-risk α-HPVs"
neurodata/primitives-interfaces
A mirror of D3M's primitives-interfaces
NeuroDataDesign/brainlit
This repository is a container of methods that Neurodata uses to expose their open-source code while it is in the process of being merged with larger scientific libraries such as scipy, scikit-image, or scikit-learn. Additionally, methods for computational neuroscience on brains too specific for a general scientific library can be found here, such as image registration software tuned specifically for large brain volumes.