Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

Notes on transformers models.

LLM training in simple, raw C/CUDA

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Data-Centric Pipelines and Data Versioning

Determined: Deep Learning Training Platform

SmartSim Infrastructure Library.

SGPT: GPT Sentence Embeddings for Semantic Search

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

GPT Demo with hybrid distributed training

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

Automated deep learning algorithms implemented in PyTorch or Tensorflow.

PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

Computation using data flow graphs for scalable machine learning