rl-trading
nn
rl-trading | nn | |
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1 | 26 | |
4 | 48,004 | |
- | 3.7% | |
0.0 | 7.7 | |
over 3 years ago | about 1 month ago | |
Jupyter Notebook | Jupyter Notebook | |
- | MIT License |
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rl-trading
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Recruiters representing Citadel has been aggressively attempting to recruit me as a software developer since mid November, offering to pay $100-150k more than the median for early/mid career developers
In the summer, I did something somewhat similar to what OP suggests above. Here's a link to the corresponding Github repository.
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?
Lean - Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
GFPGAN-for-Video-SR - A colab notebook for video super resolution using GFPGAN
alphalens - Performance analysis of predictive (alpha) stock factors
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
Practical_RL - A course in reinforcement learning in the wild
functorch - functorch is JAX-like composable function transforms for PyTorch.
alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
ZoeDepth - Metric depth estimation from a single image
Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.
onnx-simplifier - Simplify your onnx model
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.
Behavior-Sequence-Transformer-Pytorch - This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf