horizon94's repositories
rationalizing-neural-predictions
[in progress] pytorch implementation of Tao Lei's rationalizing neural predictions
apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
attention-nmt
A simple implementation of attention based encoder-decoder for nmt.
ChatBotCourse
自己动手做聊天机器人教程
CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
cnn-re-tf
Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow
CNN_sentence
CNNs for sentence classification
DALL-E
PyTorch package for the discrete VAE used for DALL·E.
lmdeploy
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
Megatron-DeepSpeed-bigscience
Ongoing research training transformer language models at scale, including: BERT & GPT-2
Megatron-DeepSpeed-microsoft
Ongoing research training transformer language models at scale, including: BERT & GPT-2
pytorch-vq-vae
PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
Relation_Extraction
Relation Extraction using Deep learning(CNN)
relation_extraction_in_clinical_text
CNN for relation extraction among problem, treatment and test in clinical text.
taming-transformers
Taming Transformers for High-Resolution Image Synthesis
TensorRT-LLM
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
word2vec-api
Simple web service providing a word embedding model