NVIDIA / NeMo
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
☆12,150Updated this week
Related projects ⓘ
Alternatives and complementary repositories for NeMo
- Ongoing research training transformer models at scale☆10,595Updated this week
- Facebook AI Research Sequence-to-Sequence Toolkit written in Python.☆30,552Updated last month
- 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (i…☆7,958Updated this week
- Fast and memory-efficient exact attention☆14,279Updated this week
- An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries☆6,947Updated this week
- Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities☆20,194Updated last week
- 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.☆16,471Updated this week
- Hackable and optimized Transformers building blocks, supporting a composable construction.☆8,660Updated this week
- Accessible large language models via k-bit quantization for PyTorch.☆6,299Updated this week
- Transformer related optimization, including BERT, GPT☆5,890Updated 7 months ago
- Train transformer language models with reinforcement learning.☆10,086Updated this week
- Running large language models on a single GPU for throughput-oriented scenarios.☆9,198Updated 3 weeks ago
- End-to-End Speech Processing Toolkit☆8,510Updated this week
- State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enter…☆13,580Updated 3 months ago
- Development repository for the Triton language and compiler☆13,443Updated this week
- Tensor library for machine learning☆11,233Updated this week
- 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production☆9,052Updated this week
- tiktoken is a fast BPE tokeniser for use with OpenAI's models.☆12,427Updated last month
- Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!☆34,030Updated this week
- Unsupervised text tokenizer for Neural Network-based text generation.☆10,295Updated 2 weeks ago
- A framework for few-shot evaluation of language models.☆6,990Updated this week
- 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.☆26,242Updated this week
- DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.☆35,508Updated this week
- Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"☆10,776Updated 3 months ago
- A high-throughput and memory-efficient inference and serving engine for LLMs☆30,423Updated this week
- QLoRA: Efficient Finetuning of Quantized LLMs☆10,059Updated 5 months ago
- PyTorch extensions for high performance and large scale training.☆3,195Updated last week
- Fast inference engine for Transformer models☆3,411Updated this week
- TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain…☆8,681Updated last week
- The Triton Inference Server provides an optimized cloud and edge inferencing solution.☆8,348Updated this week