Separius/awesome-fast-attention
list of efficient attention modules
Repositories
Separius/awesome-sentence-embedding
A curated list of pretrained sentence and word embedding models
Separius/BERT-keras
Keras implementation of BERT with pre-trained weights
Separius/transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Separius/Automodel
Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support
Separius/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
Separius/SimCLRv2-Pytorch
Pretrained SimCLRv2 models in Pytorch
Separius/EEG-GAN
Progressively Growing GAN in PyTorch for Image and Sound generation
Separius/ViDROP
Separius/SpargeAttn
SpargeAttention: A training-free sparse attention that can accelerate any model inference.
Separius/DILEMMA
PyTorch implementation of DILEMMA https//arxiv.org/abs/2204.04788 (AAAI23)
Separius/SFCLIP
Official implementation of SFCLIP: Building Vision-Language Models on Solid Foundations with Masked Distillation
Separius/SCALE
official pytorch implementation of "Spatio-Temporal Crop Aggregation for Video Representation Learning" (ICCV23)
Separius/Timetuning
Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations ICCV23
Separius/DefenseGAN
Defense GAN in pytorch
Separius/dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
Separius/CudaRelativeAttention
custom cuda kernel for {2, 3}d relative attention with pytorch wrapper
Separius/AgahKeyboard
Android Keyboard with services and swipe based on AOSP
Separius/UT-ACM-F1-AR
A.K.A. روش عینی نمایش اطلاعات or R.A.N.A.
Separius/TripleA-3DSoccerSimulation
Our 3DSS code for khawrazmi 2012
Separius/TripleA-MixedReality
Our team code for iran open 2010
Separius/MOL-Compiler
My compiler for MOL language which translates mol nto mips assembly code, using antlr
Separius/finetune-transformer-lm
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"