Deep neural networks for density functional theory Hamiltonian
State-of-the-art Multilingual Question Answering research
Game Boy emulator written in Python
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Machine Learning Toolkit for Kubernetes
Deep learning optimization library: makes distributed training easy
Assistant tool that integrates coding, writing, and reading functions
A library for accelerating Transformer models on NVIDIA GPUs
Scalable and user friendly neural forecasting algorithms.
The unified and scalable ML library for large-scale training
A system for quickly generating training data with weak supervision
Low-code framework for building custom LLMs, neural networks
Chinese LLaMA-2 & Alpaca-2 Large Model Phase II Project
Chinese LLaMA & Alpaca large language model + local CPU/GPU training
Automatically find issues in image datasets
CPT: A Pre-Trained Unbalanced Transformer
A text generation library with pre-trained language models github.com
Synthetic data generators for tabular and time-series data
MMGeneration is a powerful toolkit for generative models
Segmentation models with pretrained backbones. PyTorch
Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
A clean, Markdown-based publishing platform made for writers
Pretty diff to html javascript library (diff2html)
A hybrid command-line/UI development experience for cloud-native devs
ktrain is a Python library that makes deep learning AI more accessible