Project Echo
Develop an AI/ML solution to detect and classify the density of noisy animals in rainforests, providing conservationists with an efficient and non-invasive tool to monitor threatened animal populations over time.
https://github.com/databytes-organisation/project-echo
Category: Biosphere
Sub Category: Bioacoustics and Acoustic Data Analysis
Keywords from Contributors
transformer measurements archiving optimize generic translation animals simulator compose profiler
Last synced: about 5 hours ago
JSON representation
Repository metadata
Capstone Project (A) - Project Echo
- Host: GitHub
- URL: https://github.com/databytes-organisation/project-echo
- Owner: DataBytes-Organisation
- Created: 2022-11-10T00:00:30.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2026-02-01T07:06:21.000Z (20 days ago)
- Last Synced: 2026-02-07T06:56:41.803Z (14 days ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 4.02 GB
- Stars: 10
- Watchers: 6
- Forks: 20
- Open Issues: 11
- Releases: 0
-
Metadata Files:
- Readme: README.md
Owner metadata
- Name: DataBytes Organisation
- Login: DataBytes-Organisation
- Email: databytes@deakin.edu.au
- Kind: organization
- Description: DataBytes Capstone Project (A/B)
- Website:
- Location: Australia
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/120438431?v=4
- Repositories: 1
- Last ynced at: 2023-03-23T05:28:30.807Z
- Profile URL: https://github.com/DataBytes-Organisation
GitHub Events
Total
- Watch event: 4
- Delete event: 17
- Issue comment event: 66
- Member event: 53
- Push event: 243
- Pull request review comment event: 35
- Pull request review event: 121
- Pull request event: 289
- Fork event: 16
- Create event: 152
Last Year
- Delete event: 15
- Member event: 36
- Pull request event: 221
- Fork event: 15
- Watch event: 3
- Issue comment event: 48
- Push event: 243
- Pull request review comment event: 31
- Pull request review event: 95
- Create event: 119
Committers metadata
Last synced: 4 days ago
Total Commits: 0
Total Committers: 96
Avg Commits per committer: 20.979
Development Distribution Score (DDS): 0.841
Commits in past year: 249
Committers in past year: 55
Avg Commits per committer in past year: 4.527
Development Distribution Score (DDS) in past year: 0.904
| Name | Commits | |
|---|---|---|
| qcooke | q****e@d****u | 320 |
| Stephan C Kokkas | s****s@g****m | 203 |
| t0ru5 | b****v@g****m | 166 |
| akudilcz | a****z | 149 |
| Rohit dhanda | 4****2 | 113 |
| akudilcz | a****k@d****u | 110 |
| VietTung | v****1@g****m | 104 |
| Tanmay Pachpande | p****3@g****m | 55 |
| Tony Zhai | t****i@d****u | 47 |
| FITZztif | 9****g | 41 |
| Mic Halliday | o****c@m****m | 40 |
| dipanshgarg21 | d****1@g****m | 38 |
| crocodillian | z****9@h****m | 28 |
| Charmaine Pavia | m****a@o****m | 27 |
| Prajwal Kantharaju | p****0@o****m | 26 |
| gokhanpicgeta | v****7@h****m | 25 |
| FITZztif | 9****f | 25 |
| Rohit Bajaj | 1****7 | 22 |
| Yohjit Chopra | 1****0 | 21 |
| Bo Chean Sean | b****n@B****l | 19 |
| kjkombat | k****l@g****m | 18 |
| empaid26 | e****6@g****m | 17 |
| Balram Veeragoo | b****o@g****m | 16 |
| Atharva Kulkarni | a****k@g****m | 16 |
| rp097 | s****9@d****u | 14 |
| 4D6963 | 8****3 | 13 |
| DonalPereira | 1****a | 13 |
| Regina Arisaputri | 1****a | 13 |
| dlees27 | 8****7 | 13 |
| OKECHUKWU EZIKE | g****y@g****m | 11 |
| and 66 more... | ||
Committer domains:
Issue and Pull Request metadata
Last synced: 20 days ago
Total issues: 12
Total pull requests: 680
Average time to close issues: 23 days
Average time to close pull requests: 17 days
Total issue authors: 9
Total pull request authors: 98
Average comments per issue: 1.17
Average comments per pull request: 0.23
Merged pull request: 396
Bot issues: 0
Bot pull requests: 18
Past year issues: 1
Past year pull requests: 219
Past year average time to close issues: 3 months
Past year average time to close pull requests: about 2 months
Past year issue authors: 1
Past year pull request authors: 49
Past year average comments per issue: 1.0
Past year average comments per pull request: 0.25
Past year merged pull request: 100
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- stephankokkas (4)
- crocodillian (1)
- regina-arissa (1)
- rsanada29 (1)
- mariaelsa14 (1)
- AmanKhan183 (1)
- sribhavana15 (1)
- studeyang (1)
- Hridhyatshibu4 (1)
Top Pull Request Authors
- stephankokkas (30)
- gokhanpicgeta (30)
- akudilcz (30)
- mariaelsa14 (26)
- AndyWanng (24)
- atulrane03 (22)
- minhD03 (22)
- Luxf23 (19)
- dependabot[bot] (18)
- Sakshiiiiii15 (17)
- empaid (17)
- Jyothikasunil (15)
- mahajokhio2 (15)
- RileyLive (14)
- Hridhyatshibu4 (14)
Top Issue Labels
- bug (2)
- enhancement (2)
- Gitalk (1)
- f1c6a8d7eb82445ac26d5201e56591f8 (1)
Top Pull Request Labels
- dependencies (18)
- javascript (7)
- python (6)
- bug (5)
- echo/engine (3)
- documentation (1)
Dependencies
- actions/checkout v3 composite
- ffmpeg-python ==0.2.0
- keras *
- numpy *
- pydub *
- tensorflow *
- tensorflow-io *
- tfimm *
- for *
- open *
- str *
- Werkzeug ==2.3.7
- appdirs ==1.4.4
- bcrypt *
- black ==20.8b1
- click ==7.1.2
- dnspython ==2.0.0
- email-validator ==1.1.2
- fastapi ==0.62.0
- fastapi_mail *
- flask *
- h11 ==0.11.0
- idna ==2.10
- mccabe ==0.6.1
- motor ==2.3.0
- mypy-extensions ==0.4.3
- paho-mqtt ==1.6.1
- pandas *
- pathspec ==0.8.1
- pycodestyle ==2.6.0
- pydantic ==1.7.3
- pyflakes ==2.2.0
- pyjwt ==2.4.0
- pymongo ==3.11.1
- python-decouple *
- python-dotenv ==1.0.0
- regex ==2020.11.13
- requests *
- starlette ==0.13.6
- toml ==0.10.2
- typed-ast ==1.4.1
- typing-extensions ==3.7.4.3
- uvicorn ==0.12.3
- audiomentations *
- diskcache *
- geopy *
- google-cloud *
- google-cloud-storage *
- ipykernel *
- librosa *
- matplotlib *
- numpy *
- paho-mqtt ==1.6.1
- pandas *
- pymongo *
- soundfile *
- xgboost *
- python 3.11-slim build
- python 3.11-slim build
- cloudpickle ==3.1.1
- mlflow ==2.21.3
- numpy ==2.2.4
- pandas ==2.2.3
- psutil ==7.0.0
- scikit-learn ==1.6.1
- scipy ==1.15.2
- cloudpickle ==3.1.1
- mlflow ==2.21.3
- numpy ==2.2.4
- pandas ==2.2.3
- psutil ==7.0.0
- scikit-learn ==1.6.1
- scipy ==1.15.2
- cloudpickle ==3.1.1
- mlflow ==2.21.3
- numpy ==2.2.4
- pandas ==2.2.3
- psutil ==7.0.0
- scikit-learn ==1.6.1
- scipy ==1.15.2
- cloudpickle ==3.1.1
- mlflow ==2.21.3
- numpy ==2.2.4
- pandas ==2.2.3
- psutil ==7.0.0
- scikit-learn ==1.6.1
- scipy ==1.15.2
- cloudpickle ==3.1.1
- mlflow ==2.21.3
- numpy ==2.2.4
- pandas ==2.2.3
- psutil ==7.0.0
- scikit-learn ==1.6.1
- scipy ==1.15.2
- cloudpickle ==3.1.1
- mlflow ==2.21.3
- numpy ==2.2.4
- pandas ==2.2.3
- psutil ==7.0.0
- scikit-learn ==1.6.1
- scipy ==1.15.2
Score: 7.608870629191259