Ecosyste.ms: Packages

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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 techniques
67 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
colossalai 0.3.7
An integrated large-scale model training system with efficient parallelization techniques
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
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
torchxrayvision 1.2.2 💰
TorchXRayVision: A library of chest X-ray datasets and models
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
Top 5.2% on pypi.org
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 Tuning
9 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 models
9 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 reusable
45 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 Models
33 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 Autodistill
1 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 Autodistill
5 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 Autodistill
1 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 Autodistill
3 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 Autodistill
1 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 Autodistill
1 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 deployment
1 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
autodistill 0.1.26
Distill large foundational models into smaller, domain-specific models for deployment
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
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 Attention
12 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