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Open Sustainable Technology

A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources.

BioTrove

A Large Curated Image Dataset Enabling AI for Biodiversity.
https://github.com/baskargroup/biotrove

Category: Biosphere
Sub Category: Biodiversity Data Access and Management

Keywords

animals clip image-classification multimodal rare-species species taxonomy zero-shot-classification

Last synced: about 12 hours ago
JSON representation

Repository metadata

NeurIPS 2024 Track on Datasets and Benchmarks (Spotlight)

Owner metadata

GitHub Events

Total
Last Year

Committers metadata

Last synced: 6 days ago

Total Commits: 247
Total Committers: 10
Avg Commits per committer: 24.7
Development Distribution Score (DDS): 0.555

Commits in past year: 209
Committers in past year: 10
Avg Commits per committer in past year: 20.9
Development Distribution Score (DDS) in past year: 0.474

Name Email Commits
Zahid-isu 8****u 110
zahid 8****u 33
penfever p****r@g****m 29
znjubery z****y@g****m 28
Ben Feuer p****r@h****m 23
André 7****3 10
ChihHsuan-Yang 6****g 5
Nirmal n****l@i****u 4
Kelly Marshall k****8@n****u 4
Kelly Marshall k****8@l****u 1

Committer domains:

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 2
Total pull requests: 5
Average time to close issues: 3 months
Average time to close pull requests: about 1 hour
Total issue authors: 2
Total pull request authors: 3
Average comments per issue: 0.5
Average comments per pull request: 0.0
Merged pull request: 2
Bot issues: 0
Bot pull requests: 0

Past year issues: 2
Past year pull requests: 5
Past year average time to close issues: 3 months
Past year average time to close pull requests: about 1 hour
Past year issue authors: 2
Past year pull request authors: 3
Past year average comments per issue: 0.5
Past year average comments per pull request: 0.0
Past year merged pull request: 2
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/baskargroup/biotrove

Top Issue Authors

  • sandeepmukh (1)
  • johnbradley (1)

Top Pull Request Authors

  • Km3888 (2)
  • hlapp (2)
  • ajn313 (1)

Top Issue Labels

Top Pull Request Labels

Dependencies

Biotrove-preprocess/requirement.txt pypi
  • aiohttp ==3.9.5
  • aiosignal ==1.3.1
  • async-timeout ==4.0.3
  • attrs ==23.2.0
  • contourpy ==1.2.1
  • cramjam ==2.8.3
  • cycler ==0.12.1
  • fastparquet ==2024.5.0
  • fonttools ==4.53.0
  • frozenlist ==1.4.1
  • fsspec ==2024.6.0
  • idna ==3.7
  • importlib_resources ==6.4.0
  • kiwisolver ==1.4.5
  • matplotlib ==3.9.0
  • multidict ==6.0.5
  • numpy ==1.26.4
  • packaging ==24.1
  • pandas ==2.2.2
  • pillow ==10.3.0
  • pyarrow ==16.1.0
  • pyparsing ==3.1.2
  • python-dateutil ==2.9.0.post0
  • pytz ==2024.1
  • seaborn ==0.13.2
  • six ==1.16.0
  • tqdm ==4.66.4
  • tzdata ==2024.1
  • yarl ==1.9.4
  • zipp ==3.19.2
Biotrove-preprocess/setup.py pypi
model_training/pyproject.toml pypi
model_training/requirements-training.txt pypi
  • Jinja2 *
  • Markdown *
  • MarkupSafe *
  • PyYAML *
  • Werkzeug *
  • absl-py *
  • braceexpand *
  • cachetools *
  • certifi *
  • charset-normalizer *
  • filelock *
  • fsspec *
  • ftfy *
  • google-auth *
  • google-auth-oauthlib *
  • grpcio *
  • huggingface-hub *
  • idna *
  • mpmath *
  • networkx *
  • numpy *
  • nvidia-cublas-cu12 *
  • nvidia-cuda-cupti-cu12 *
  • nvidia-cuda-nvrtc-cu12 *
  • nvidia-cuda-runtime-cu12 *
  • nvidia-cudnn-cu12 *
  • nvidia-cufft-cu12 *
  • nvidia-curand-cu12 *
  • nvidia-cusolver-cu12 *
  • nvidia-cusparse-cu12 *
  • nvidia-nccl-cu12 *
  • nvidia-nvjitlink-cu12 *
  • nvidia-nvtx-cu12 *
  • oauthlib *
  • packaging *
  • pandas *
  • pillow *
  • protobuf *
  • pyasn1 *
  • pyasn1-modules *
  • python-dateutil *
  • pytz *
  • regex *
  • requests *
  • requests-oauthlib *
  • rsa *
  • safetensors *
  • six *
  • sympy *
  • tensorboard *
  • tensorboard-data-server *
  • timm *
  • tokenizers *
  • torch *
  • torchvision *
  • tqdm *
  • transformers *
  • triton *
  • typing_extensions *
  • tzdata *
  • urllib3 *
  • wcwidth *
  • webdataset *
model_training/requirements-viz.txt pypi
  • pandas ==2.1.2
  • plotly =5.18.0
model_training/requirements.txt pypi
  • Jinja2 *
  • MarkupSafe *
  • PyYAML *
  • certifi *
  • charset-normalizer *
  • cmake *
  • filelock *
  • fsspec *
  • ftfy *
  • huggingface-hub *
  • idna *
  • lit *
  • mpmath *
  • networkx *
  • numpy *
  • nvidia-cublas-cu11 *
  • nvidia-cuda-cupti-cu11 *
  • nvidia-cuda-nvrtc-cu11 *
  • nvidia-cuda-runtime-cu11 *
  • nvidia-cudnn-cu11 *
  • nvidia-cufft-cu11 *
  • nvidia-curand-cu11 *
  • nvidia-cusolver-cu11 *
  • nvidia-cusparse-cu11 *
  • nvidia-nccl-cu11 *
  • nvidia-nvtx-cu11 *
  • packaging *
  • pandas *
  • pillow *
  • python-dateutil *
  • pytz *
  • regex *
  • requests *
  • safetensors *
  • scipy *
  • six *
  • sympy *
  • tokenizers *
  • torch *
  • torchvision *
  • tqdm *
  • transformers *
  • triton *
  • typing_extensions *
  • tzdata *
  • urllib3 *
  • wcwidth *
model_training/setup.py pypi
model_validation/requirements.txt pypi
  • braceexpand *
  • byol-pytorch *
  • clip-benchmark ==1.4.0
  • coca-pytorch *
  • datasets ==2.8.0
  • ftfy *
  • fuzzywuzzy *
  • huggingface_hub *
  • nltk *
  • open_clip_torch *
  • pandas <=1.4.0
  • regex *
  • scikit-learn *
  • scipy *
  • seaborn *
  • tensorboard *
  • timm *
  • torch >=1.9.0
  • torchvision *
  • tqdm *
  • vit-pytorch *
  • wandb *
  • webdataset >=0.2.5
  • x-clip *
model_validation/requirements_notorch.txt pypi
  • braceexpand *
  • byol-pytorch *
  • coca-pytorch *
  • ftfy *
  • fuzzywuzzy *
  • huggingface_hub *
  • nltk *
  • open_clip_torch *
  • pandas <=1.4.0
  • regex *
  • scikit-learn *
  • scipy *
  • seaborn *
  • tensorboard *
  • timm *
  • tqdm *
  • vit-pytorch *
  • wandb *
  • webdataset >=0.2.5
  • x-clip *
model_validation/requirements_ray.txt pypi
  • braceexpand *
  • byol-pytorch *
  • coca-pytorch *
  • ftfy *
  • fuzzywuzzy *
  • huggingface_hub *
  • nltk *
  • open_clip_torch *
  • pandas <=1.4.0
  • pyarrow *
  • ray *
  • regex *
  • scikit-learn *
  • scipy *
  • seaborn *
  • tensorboard *
  • timm *
  • torch >=1.9.0
  • torchvision *
  • tqdm *
  • vit-pytorch *
  • wandb *
  • webdataset >=0.2.5
  • x-clip *

Score: 5.768320995793772