Machine_Learning_and_Deep_Learning_models
labml
| Machine_Learning_and_Deep_Learning_models | labml | |
|---|---|---|
| 1 | 23 | |
| 1 | 1,867 | |
| - | 2.1% | |
| 3.2 | 9.7 | |
| over 3 years ago | 8 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| The Unlicense | MIT License |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Machine_Learning_and_Deep_Learning_models
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AI 101 | Introduction to Artificial Intelligence
MuizAlvi / Machine_Learning_and_Deep_Learning_models
labml
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Creating stickers using SD with img2img
Used the PromptArt app by labml.ai to generate a sticker of an image I took from my iPhone. The results are amazing.
- [D] Why doesn’t your team use an experiment tracking tool?
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Probe PyTorch models
💻 Github
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[P] Probe PyTorch models
🧑🏫 Demo that extracts attention maps of BERT
- Show HN: Probe PyTorch Models
- [D] How do you guys tune hyperparameters, when a single training run takes a long time (days to weeks)?
- Machine Learning Best Practices
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[D] Machine Learning Best Practices
from github
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[P] Annotated deep learning paper implementations
labmlai/labml is a set of tools (tracking experiments, configurations, a bunch of helpers) we coded to ease our ML work (which later improved and open sourced). So we use it in all our projects because it makes things easier for us.
- React's UI State Model vs. Vanilla JavaScript
What are some alternatives?
Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Deep-Learning-Push-Up-Counter - Deep Learning approach to count the number of repetitions in a video of push ups or pull ups.
guildai - Experiment tracking, ML developer tools
AI101 - Repository containing guidance material for participants attending the AI101 Workshop
Practical_RL - A course in reinforcement learning in the wild
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
tensorflow-onnx - Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
MIRNet-TFJS - TensorFlow JS models for MIRNet for low-light💡 image enhancement
Lottery_Ticket_Hypothesis-TensorFlow_2 - Implementing "The Lottery Ticket Hypothesis" paper by "Jonathan Frankle, Michael Carbin"
spock - spock is a framework that helps manage complex parameter configurations during research and development of Python applications