Andrew Carl's repositories
airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
annotated_deep_learning_paper_implementations
🧑🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, etc. 🧠
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
BERT-related-papers
BERT-related papers
darts
A python library for easy manipulation and forecasting of time series.
Darts-1
Python Darts time series tutorial
Darts_ensembleFC
Python time series ensemble forecasts with Darts
Darts_RNN
recurrent neural networks in Python Darts
Darts_TCN_RNN
time series forecasting with TCN and RNN neural networks in Darts
dash-tabulator
Tabulator component for Dash Plotly
ES_energy_Transformer
Python Darts deep forecasting models
flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
google-research
Google Research
minisom
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
mmf
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
PaddleViT
:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
performer-pytorch
An implementation of Performer, a linear attention-based transformer, in Pytorch
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
simpletransformers
Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
sockeye
Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
StockAnalytics
This project is to develop tools for investment decision-making and make investment analysis using data science techniques.
TFT_darts
probabilistic forecasting with Temporal Fusion Transformer
The-Book-of-Trading-Strategies
Source Codes for the Book of Trading Strategies
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
tspdb
tspdb: Time Series Predict DB
turbo-flask
Integration of Hotwire's Turbo library with Flask.
weaviate
Weaviate is a cloud-native, modular, real-time vector search engine
x-transformers
A simple but complete full-attention transformer with a set of promising experimental features from various papers