microsoft / unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
β20,194Updated last week
Related projects β
Alternatives and complementary repositories for unilm
- π€ PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.β16,471Updated this week
- π A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (iβ¦β7,958Updated this week
- Fast and memory-efficient exact attentionβ14,279Updated this week
- LAVIS - A One-stop Library for Language-Vision Intelligenceβ9,943Updated this week
- DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.β35,508Updated this week
- A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) trainingβ20,199Updated 3 months ago
- Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"β10,776Updated 3 months ago
- Ongoing research training transformer models at scaleβ10,595Updated this week
- π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.β135,166Updated this week
- An open source implementation of CLIP.β10,344Updated last week
- π€ Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.β26,242Updated this week
- CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an imageβ25,990Updated 3 months ago
- Latest Advances on Multimodal Large Language Modelsβ12,722Updated this week
- β10,467Updated 6 months ago
- A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Autoβ¦β12,150Updated this week
- QLoRA: Efficient Finetuning of Quantized LLMsβ10,059Updated 5 months ago
- Facebook AI Research Sequence-to-Sequence Toolkit written in Python.β30,552Updated last month
- The simplest, fastest repository for training/finetuning medium-sized GPTs.β37,411Updated 3 months ago
- Foundation Architecture for (M)LLMsβ3,034Updated 7 months ago
- RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the bestβ¦β12,672Updated this week
- [ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parametersβ5,760Updated 8 months ago
- An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed librariesβ6,947Updated this week
- Train transformer language models with reinforcement learning.β10,086Updated this week
- Accessible large language models via k-bit quantization for PyTorch.β6,299Updated this week
- Hackable and optimized Transformers building blocks, supporting a composable construction.β8,660Updated this week
- [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.β20,286Updated 3 months ago
- ImageBind One Embedding Space to Bind Them Allβ8,369Updated 3 months ago
- Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adβ¦β5,994Updated 2 months ago
- State-of-the-Art Text Embeddingsβ15,368Updated this week
- BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)β6,952Updated last year