Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
- language-modeling
- natural-language-generation
- machine-learning
- deep-learning
47,133 repositories indexed
769–792 of 1,352 · Most stars
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
PySpark + Scikit-learn = Sparkit-learn
An autoML framework & toolkit for machine learning on graphs.
Neural question generation using transformers
A lightweight header-only library for using Keras (TensorFlow) models in C++.
learn code with tensorflow
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
A self-hosted, open-source quiz platform for smaller events.
fastFM: A Library for Factorization Machines
mlr3: Machine Learning in R - next generation
Curated List: Practical Natural Language Processing done in Ruby
A curated list of gradient boosting research papers with implementations.
✨ A Learning Path for Functional Programming
Scalable, event-driven, deep-learning-friendly backtesting library
This Word Does Not Exist
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
Chamilo is a learning management system focused on ease of use and accessibility
Python package for graph statistics
allRank is a framework for training learning-to-rank neural models based on PyTorch.
When Claude Code hits its usage limit, Codex picks the task up from the same memory. Sno Station puts Codex, Claude Code, Cursor, Hermes Agent and OpenClaw on one squad: they hand work to each other and review each other's code. Open source, runs on your computer.
Examples and experiments around ML for upcoming Coding Train videos
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Pretrained model hub for Keras 3.