What I cannot create, I do not understand.
aioway. AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.
1.8klearning-machine. A handbook for ML built on answers.
500bocoel. Bayesian Optimization as a Coverage Tool for Evaluating LLMs. Accurate evaluation (benchmarking) that's 10 times faster with just a few lines of modular code.
289brief. Text summarization with PyTorch
15inversql. Create SQL that match your selection (with explainable AI), not the other way around
15agymc. An concurrent wrapper for OpenAI Gym library
8snippets. Snippets of the languages I want to work on
4cant-hear. This is the source code repository for unsupervised noise reduction research.
3kairos. KaiRoS is the Greek word for weather.
3perbert. Python
2zerospeech. Source code for the 2019 zero-speech challenge.
2datasets. 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
1hackgt-app. We won!
1.github.
1ydata-profiling. Create HTML profiling reports from pandas DataFrame objects
1brokrest. Brokers at ease now. Automation is here.
1TypeScript-Website. The Website and web infrastructure for learning TypeScript
1