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- GitHub - allenai/allennlp: An open-source NLP research library, built on PyTorch. https://github.com/allenai/allennlp 10 comments
- GitHub - mikeroyal/Neuromorphic-Computing-Guide: Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures. https://github.com/mikeroyal/Neuromorphic-Computing-Guide 7 comments
- GitHub - alramalho/understanding-rl https://github.com/alramalho/understanding-rl 7 comments
- Machine learning hyperparameter optimization with Argo | by Canva Engineering | Canva Engineering Blog https://canvatechblog.com/machine-learning-hyperparameter-optimization-with-argo-a60d70b1fc8c 6 comments
- Trading Algos - 5 Key Backtesting Metrics and How to Implement Them in Python - DEV Community https://dev.to/blankly/trading-algos-5-key-metrics-and-how-to-implement-them-in-python-5gb8 3 comments
- GitHub - mikeroyal/Machine-Learning-Guide: Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, and Training Models. https://github.com/mikeroyal/Machine-Learning-Guide 2 comments
- Hyperparameter Optimization (HPO) in the Myst Platform | by Sean MacPherson | Myst AI https://blog.myst.ai/hyperparameter-optimization-hpo-in-the-myst-platform-dbeeeecb695c?gi=27fed538f07a 1 comment
- GitHub - araffin/rl-baselines-zoo: A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included. https://github.com/araffin/rl-baselines-zoo 1 comment
- PrivacyRaven Has Left the Nest | Trail of Bits Blog https://blog.trailofbits.com/2020/10/08/privacyraven-has-left-the-nest/ 1 comment
- GitHub - allegroai/clearml: ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management https://github.com/allegroai/clearml 1 comment
- Sentiment Analysis, Part 4 — A survey of Sentiment Analysis methods | by Jade Moillic | Besedo Engineering Blog | Medium https://medium.com/besedo-engineering/sentiment-analysis-part-4-a-survey-of-sentiment-analysis-methods-2ba84759f3d 1 comment
- Announcing Optuna 3.0 (Part 1). We are pleased to announce the release… | by mamu | Optuna | Medium https://medium.com/optuna/optuna-3-part-1-4c6a9022a648 0 comments
- GitHub - allegroai/clearml: ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management https://github.com/allegroai/trains 0 comments
- GitHub - galatolofederico/easyopt: zero-code hyperparameters optimization framework https://github.com/galatolofederico/easyopt 0 comments
- Domino - financial forecasting in the age of global pandemic · allegro.tech https://blog.allegro.tech/2021/05/domino-financial-forecasting-in-the-age-of-global-pandemic.html 0 comments
- GitHub - kelvins/awesome-mlops: A curated list of awesome MLOps tools https://github.com/kelvins/awesome-mlops 0 comments
- Optuna Your Model Hyperparameters https://gretel.ai/blog/optuna-your-model-hyperparameters 0 comments
- GitHub - dmlc/xgboost: Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow https://github.com/dmlc/xgboost 0 comments
- Machine Learning Toolbox https://amitness.com/toolbox/ 0 comments
- Feature Encodings for Gradient Boosting with Automunge | by Nicholas Teague | Automunge | Medium https://medium.com/automunge/feature-encodings-for-gradient-boosting-with-automunge-973d3eb6228f 0 comments
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