Ecosyste.ms: Packages
An open API service providing package, version and dependency metadata of many open source software ecosystems and registries.
pypi.org "foundation-models" keyword
femr 0.2.3
Framework for Electronic Medical Records. A python package for building models using EHR data.23 versions - Latest release: about 2 months ago - 1.21 thousand downloads last month - 81 stars on GitHub - 4 maintainers
femr-oldcpu 0.1.16
Framework for Electronic Medical Records. A python package for building models using EHR data.13 versions - Latest release: 6 months ago - 341 downloads last month - 81 stars on GitHub - 2 maintainers
femr-cuda 0.1.16
Framework for Electronic Medical Records. A python package for building models using EHR data.17 versions - Latest release: 6 months ago - 1 dependent repositories - 374 downloads last month - 81 stars on GitHub - 2 maintainers
colossalai-nightly 2024.5.11
An integrated large-scale model training system with efficient parallelization techniques67 versions - Latest release: about 8 hours ago - 325 downloads last month - 37,740 stars on GitHub - 1 maintainer
gai-lib-gen 0.53
Gai/Gen is the Universal Multi-Modal Wrapper Library for LLM. The library is designed to provide ...39 versions - Latest release: 4 months ago - 82 downloads last month - 16,578 stars on GitHub - 2 maintainers
lisa-on-cuda 1.1.1
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and b...9 versions - Latest release: 19 days ago - 207 downloads last month - 16,578 stars on GitHub - 2 maintainers
llava-torch 1.2.2
Towards GPT-4 like large language and visual assistant.6 versions - Latest release: 3 months ago - 616 downloads last month - 16,578 stars on GitHub - 2 maintainers
kaiko-eva 0.0.1
Evaluation Framework for oncology foundation models.4 versions - Latest release: about 2 months ago - 59 downloads last month - 42 stars on GitHub - 1 maintainer
fmbench 1.0.33
Benchmark performance of **any model** deployed on **Amazon SageMaker** or available on **Amazon ...32 versions - Latest release: 2 days ago - 589 downloads last month - 77 stars on GitHub - 2 maintainers
pyxu 1.2.0
Modular and scalable computational imaging in Python with support for GPU/out-of-core computing.6 versions - Latest release: 5 months ago - 2 dependent packages - 58 downloads last month - 97 stars on GitHub - 5 maintainers
Top 1.7% on pypi.org
26 versions - Latest release: 14 days ago - 7 dependent packages - 63 dependent repositories - 9.44 thousand downloads last month - 37,740 stars on GitHub - 1 maintainer
colossalai 0.3.7
An integrated large-scale model training system with efficient parallelization techniques26 versions - Latest release: 14 days ago - 7 dependent packages - 63 dependent repositories - 9.44 thousand downloads last month - 37,740 stars on GitHub - 1 maintainer
pycsou 1.0.6
Library for solving linear inverse problems with state-of-the-art proximal algorithms.4 versions - Latest release: about 3 years ago - 4 dependent repositories - 28 downloads last month - 103 stars on GitHub - 4 maintainers
Top 3.5% on pypi.org
42 versions - Latest release: 3 months ago - 1 dependent package - 31 dependent repositories - 14.3 thousand downloads last month - 775 stars on GitHub - 2 maintainers
torchxrayvision 1.2.2 💰
TorchXRayVision: A library of chest X-ray datasets and models42 versions - Latest release: 3 months ago - 1 dependent package - 31 dependent repositories - 14.3 thousand downloads last month - 775 stars on GitHub - 2 maintainers
Top 5.2% on pypi.org
40 versions - Latest release: 12 months ago - 1 dependent package - 6 dependent repositories - 1.36 thousand downloads last month - 804 stars on GitHub - 3 maintainers
meerkat-ml 0.4.11
Meerkat is building new data abstractions to make machine learning easier.40 versions - Latest release: 12 months ago - 1 dependent package - 6 dependent repositories - 1.36 thousand downloads last month - 804 stars on GitHub - 3 maintainers
otter-ai 0.0.0a8
Otter: A Multi-Modal Model with In-Context Instruction Tuning9 versions - Latest release: 5 months ago - 99 downloads last month - 3,447 stars on GitHub - 3 maintainers
ralf-jhuapl 0.0.6
A lightweight library to support the development of applications using LLMs.5 versions - Latest release: 15 days ago - 109 downloads last month - 5 stars on GitHub - 2 maintainers
ralf-dialogue-jhuapl 0.0.4
An extension of the ralf toolkit with convenient primitives for building LLM-based dialogue agents.2 versions - Latest release: 8 months ago - 19 downloads last month - 0 stars on GitHub - 1 maintainer
fedem 0.0.7
A decentralized framework to train foundational models9 versions - Latest release: about 2 months ago - 51 downloads last month - 9 stars on GitHub - 2 maintainers
fondant 1.0.0
Fondant - Large-scale data processing made easy and reusable45 versions - Latest release: 3 months ago - 1 dependent repositories - 890 downloads last month - 316 stars on GitHub - 4 maintainers
fmbt 1.0.7
Benchmark performance of **any model** on **any supported instance type** on Amazon SageMaker.8 versions - Latest release: 3 months ago - 59 downloads last month - 77 stars on GitHub - 3 maintainers
alpaca-eval 0.6.2
AlpacaEval : An Automatic Evaluator of Instruction-following Models33 versions - Latest release: 22 days ago - 2 dependent packages - 7.19 thousand downloads last month - 1,062 stars on GitHub - 5 maintainers
autodistill-flamingo 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 19 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-tag2text 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 25 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-blip2 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 19 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-chat-gpt 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 13 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-palm 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 11 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-yolox 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 18 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-yolov4 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 11 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-bioclip 0.1.0
BioCLIP model for use with Autodistill1 version - Latest release: 3 months ago - 23 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-azure 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 22 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-deta 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 12 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-blip 0.1.3
BLIP module for use with Autodistill5 versions - Latest release: 5 months ago - 1 dependent package - 81 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-glip 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 16 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-oneformer 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 14 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-vertex 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 11 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-swin 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 8 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-yolor 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 25 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-dino 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 18 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-palm2 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 15 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-yolov9 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 43 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-gpt5 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 15 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-otter 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 12 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-palm-e 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 12 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-efficientsam 0.1.0
EfficientSAM model for use with Autodistill1 version - Latest release: 3 months ago - 45 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-chameleon 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 13 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-remote-clip 0.1.2
Remote CLIP model for use with Autodistill3 versions - Latest release: 5 months ago - 25 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-efficientnet 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 12 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-llama 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 15 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-swinv2 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 11 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-open-flamingo 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 4 downloads last month - 1,452 stars on GitHub - 4 maintainers
autodistill-albef 0.1.0
ALBEF module for use with Autodistill1 version - Latest release: 11 months ago - 20 downloads last month - 1,457 stars on GitHub - 4 maintainers
autodistill-llava 0.1.0
LLaVA for use with Autodistill1 version - Latest release: 7 months ago - 102 downloads last month - 1,457 stars on GitHub - 4 maintainers
autodistill-flan 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 16 downloads last month - 1,457 stars on GitHub - 4 maintainers
autodistll-grounded-sam 0.0.5
Automatically distill large foundational models into smaller, in-domain models for deployment1 version - Latest release: 12 months ago - 10 downloads last month - 1,519 stars on GitHub - 2 maintainers
autodistill-coca 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 22 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-yolov6 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 13 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-gpt4 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 27 downloads last month - 1,457 stars on GitHub - 4 maintainers
Top 4.3% on pypi.org
29 versions - Latest release: 3 months ago - 32 dependent packages - 2 dependent repositories - 56.9 thousand downloads last month - 1,457 stars on GitHub - 6 maintainers
autodistill 0.1.26
Distill large foundational models into smaller, domain-specific models for deployment29 versions - Latest release: 3 months ago - 32 dependent packages - 2 dependent repositories - 56.9 thousand downloads last month - 1,457 stars on GitHub - 6 maintainers
alpaca-farm 0.2.0
An automatic evaluator for instruction-following language models. Human-validated, high-quality, ...11 versions - Latest release: 3 months ago - 172 downloads last month - 1,062 stars on GitHub - 2 maintainers
fastervit 0.9.8
FasterViT: Fast Vision Transformers with Hierarchical Attention12 versions - Latest release: 8 months ago - 1 dependent repositories - 160 downloads last month - 649 stars on GitHub - 2 maintainers
Related Keywords
machine-learning
44
deep-learning
44
multimodal
40
computer-vision
39
image-classification
39
pytorch
39
object-detection
38
instance-segmentation
37
labeling-tool
37
image-annotation
37
grounding-dino
37
auto-labeling
37
model-distillation
37
segment-anything
37
yolov5
37
yolov8
37
llama2
5
chatgpt
4
gpt-4
4
instruction-tuning
4
visual-language-learning
4
multi-modality
4
large-language-models
3
vision-language-model
3
llava
3
llama-2
3
llama
3
chatbot
3
electronic-health-records
3
self-supervised-learning
3
healthcare
3
sagemaker
2
matrix-free
2
modular
2
python-hpc
2
python-library
2
scalable
2
sensing
2
sparse-learning
2
evaluation
2
instruction-following
2
leaderboard
2
nlp
2
rlhf
2
python
2
openai
2
fmops
2
llm
2
benchmarking
2
generative-ai
2
benchmark
2
inferentia
2
p4d
2
array-api
2
pipeline-parallelism
2
model-parallelism
2
large-scale
2
inference
2
hpc
2
heterogeneous-training
2
array-computing
2
distributed-computing
2
data-parallelism
2
big-model
2
ai
2
artificial-intelligence
2
bayesian-methods
2
computational-imaging
2
image-enhancement
2
image-processing
2
image-reconstruction
2
image-restoration
2
inverse-problem
2
pipeline
1
data-processing
1
visual-recognition
1
vision-transformer
1
semantic-segmentation
1
self-attention
1
pretrained
1
models
1
efficientnet
1
mobilenetv3
1
mnasnet
1
resnet
1
vision
1
transformer
1
vit
1
ade20k
1
backbone
1
coco
1
image-net
1
pre-trained-model
1
foundation models
1
torchxrayvision
1
medical-imaging
1
medical-image-processing
1
medical-image-analysis
1
medical-application
1
medical-ai
1