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81 public repositories
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PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Updated
Nov 3, 2021
Python
PyTorch Lightning + Hydra. A very general, feature-rich template for rapid, scalable and reproducible ML experimentation with best practices. ⚡ 🔥 ⚡
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Oct 31, 2021
Python
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features
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Nov 3, 2021
Python
Train a state-of-the-art yolov3 object detector from scratch!
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Sep 5, 2021
Jupyter Notebook
Github repo with tutorials to fine tune transformers for diff NLP tasks
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Jul 24, 2021
Jupyter Notebook
Generic template to bootstrap your PyTorch project with PyTorch Lightning, Hydra, W&B, DVC, and Streamlit.
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Jun 5, 2021
Python
Updated
Jul 28, 2021
Python
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)
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Aug 25, 2021
Python
Deep Learning project template for PyTorch (Distributed Learning is supported)
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Jun 17, 2021
Python
Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization.
Updated
Oct 8, 2021
Jupyter Notebook
Tensorflow 2.3.0 implementation of DeepLabV3-Plus
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Sep 8, 2021
Jupyter Notebook
Quality implementations of reinforcement learning algorithms in tensorflow 2.x, for fast and effective experimentation.
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Sep 9, 2021
Python
Google's BigBird (Jax/Flax & PyTorch) @ 🤗 Transformers
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Oct 7, 2021
Jupyter Notebook
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Sep 14, 2021
Python
Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.
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Sep 20, 2021
Python
A multibranch neural net architecture. (PyTorch)
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Apr 27, 2020
Python
Utilities and boilerplate code to use wandb with allennlp
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Oct 11, 2021
Python
Utils and modules for Speech Language and Multimodal processing using pytorch and pytorch lightning
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Nov 3, 2021
Python
Updated
Oct 9, 2020
Jupyter Notebook
Helpful data preprocessing, training, and visualisation code and scripts for a range of Kaggle competitions, supported by Weights & Biases.
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Sep 4, 2021
Jupyter Notebook
Exploring weak supervision approaches to train text classification models. The project is also a prototype for a semi-automated text data labelling platform.
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Sep 2, 2021
Jupyter Notebook
This project takes the arXiv dataset and builds an automatic tag classifier from the arXiv article/paper titles
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Aug 18, 2021
Jupyter Notebook
Tiny ResNet inspired FPN network (<2M params) for Rotated Object Detection using 5-parameter Modulated Rotation Loss
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Jul 8, 2021
Python
🕵️ 🤖 Monitoring a PyTorch Lightning CNN with Weights & Biases
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Jul 26, 2021
Jupyter Notebook
🥈 50th place in Bristol-Myers Squibb – Molecular Translation competition
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Jun 4, 2021
Python
We use phonetics as a feature to create a joint semantic-phonetic embedding and improve the neural machine translation between Chinese and Japanese. 🥳
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Aug 3, 2021
Jupyter Notebook
Contains my explorations of using Docker to automate ML workflows.
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Aug 29, 2020
Python
🥈 42nd place in CommonLit Readability Prize competition
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Aug 9, 2021
Python
BuilT - Build a Trainer of deep neural networks
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Aug 27, 2021
Python
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Our main approach is based on TFC-TDF-U-Net [3].
This model was originally proposed for Singing Voice Separation.
but it turns out that this model also performs well for other musical instruments (drums, bass, other)