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Modeling, training, eval, and inference code for OLMo
Adaptive traffic signal control using deep reinforcement learning built using SUMO
OmniXAI: A Library for eXplainable AI
This is our solution dealing with BKAI challenge 😄
Robust Speech Recognition via Large-Scale Weak Supervision
A curated list of awesome data labeling tools
Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.
Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
DeltaPy - Tabular Data Augmentation (by @firmai)
AtsPy: Automated Time Series Models in Python (by @firmai)
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Movie recommendations based on user written passages about preferred movies.
Super easy library for BERT based NLP models
Automatic extraction of relevant features from time series:
A very simple framework for state-of-the-art Natural Language Processing (NLP)
scripts and baselines for SParC: Yale & Salesforce Semantic Parsing and Text-to-SQL in Context Challenge
Cross-platform, customizable ML solutions for live and streaming media.
Deep Learning Pipelines for Apache Spark
Distributed Deep learning with Keras & Spark
Using Database Rule for Weak Supervised Text-to-SQL Generation https://arxiv.org/abs/1907.00620
A large annotated semantic parsing corpus for developing natural language interfaces.
A collection of datasets that pair questions with SQL queries.