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Name: LeilaK

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LeilaK's Projects

annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

bigbird

Transformers for Longer Sequences

breakoutdetection

Breakout Detection via Robust E-Statistics

cnnshapes

Visualizing intermediate activation in Convolutional Neural Networks with Keras

da-rnn

📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

ddr-dataset

A General-purpose High-quality Dataset for Diabetic Retinopathy Classification, Lesion Segmentation and Lesion Detection

distributed-statistical-computing

Teaching Materials for Distributed Statistical Computing (大数据分布式计算教学材料)

dividemix

Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

elr

Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels

fixmatch-pytorch

Unofficial Pytorch code for "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" in NeurIPS'20. This repo contains reproduced checkpoints.

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

intro2ds

《数据科学概论》各章代码及案例数据

l_dmi

Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"

lstm_encoder_decoder

Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data

marketdata_yfinance

Market data pull from yfinance API

mgp-tcn

Sepsis Prediction on MIMIC

mixmatch-pytorch

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

mixture-of-experts

PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

ncaa_hoops_play_by_play

Men's College Basketball Play by Play Data

nlnl-negative-learning-for-noisy-labels

NLNL: Negative Learning for Noisy Labels

oia

Ophthalmic Image Analysis Dataset

pencil

PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-dicom-classification

Code for analyzing medical images saved as .dicom files

pytorch-forecasting

Time series forecasting with PyTorch

pytorch-gat

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

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