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| Reason | What It Means for You | |--------|-----------------------| | | The course is funded by a consortium of universities and industry partners that want to up‑skill the workforce. | | Open‑source curriculum | All lecture slides, code notebooks, and data sets are released under a permissive CC‑BY‑4.0 license, so you can remix or reuse them for personal projects or teaching. | | No paywall barrier | You can start instantly—just create a free OLH account and you’re in. This removes the “first‑step” friction that many learners face. | | Community‑driven support | A vibrant Slack/Discord community of learners and volunteer mentors is available 24/7. You can ask questions, share notebooks, and get peer reviews without paying for a tutor. |

| Resource | What It Provides | Link | |----------|-----------------|------| | | GPU‑enabled notebooks (up to 12 h runtime) | https://colab.research.google.com | | PyTorch & TensorFlow | Core deep‑learning libraries (both installed in the notebooks) | https://pytorch.org, https://tensorflow.org | | Hugging Face Datasets & Models | Thousands of pre‑trained models, ready for fine‑tuning | https://huggingface.co | | OpenAI Gym | Standard RL environments | https://gym.openai.com | | FastAPI | Lightweight API framework for model serving | https://fastapi.tiangolo.com | | GitHub | Store your notebooks, version‑control, and share with peers | https://github.com | | Discord Community | Peer support, mentor office hours, project showcases | Invite link on the course homepage | Beyond the immediate technical dangers to your computer

JavDB Top 250 movies code list. [Updated at 2023/01] - GitHub Gist

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