gdrl
nn
gdrl | nn | |
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1 | 26 | |
747 | 48,430 | |
- | 3.7% | |
10.0 | 7.7 | |
about 2 years ago | about 1 month ago | |
Jupyter Notebook | Jupyter Notebook | |
BSD 3-clause "New" or "Revised" License | MIT License |
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gdrl
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How to proceed further? (Learning RL)
I would recommend looking at Grokking Deep RL if you are looking for some hands on DRL practice in python without starting completely from scratch. You can find some of the jupyter notebooks here.
nn
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Can't remember name of website that has explanations side-by-side with code
Hey are you talking about https://nn.labml.ai/ ?
- [D] Recent ML papers to implement from scratch
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[P] GPT-NeoX inference with LLM.int8() on 24GB GPU
Implementation & LM Eval Harness Results
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[P] Fine-tuned the GPT-Neox Model to Generate Quotes
Github: https://github.com/labmlai/annotated_deep_learning_paper_implementations/tree/master/labml_nn/neox
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Best resources to learn recent transformer papers and stay updated [D]
Regarding implementations this helps me: https://nn.labml.ai/
- Introductory papers to implement
- How to convert research papers to code?
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[D] How to convert papers to code?
Dunno if this is directly helpful, but this website has implementation with the math side by side https://nn.labml.ai/
- [D] Looking for open source projects to contribute
- Resource for papers explanation
What are some alternatives?
deep-rl-class - This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
GFPGAN-for-Video-SR - A colab notebook for video super resolution using GFPGAN
World4AI - World4AI is an educational resource for AI.
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.
functorch - functorch is JAX-like composable function transforms for PyTorch.
baselines - OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
ZoeDepth - Metric depth estimation from a single image
Practical_RL - A course in reinforcement learning in the wild
onnx-simplifier - Simplify your onnx model
Reinforcement-Learning - Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Basic-UI-for-GPT-J-6B-with-low-vram - A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.