Pinned Repositories
17TeamF_SparkStreaming
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.
attention_model_clinical_text
This code implements attention network on top of the CNN used in the paper titled "Relation extraction from clinical texts using domain invariant convolutional neural network" which was accepted in BioNLP at ACL-2016, Berlin, Germany
caevo
A temporal ordering system for events and time expressions in written text.
CATENA_learning
ChatBotCourse
自己动手做聊天机器人教程
clinical-norma
Clinical temporal expression normaliser
CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
rationalizing-neural-predictions
[in progress] pytorch implementation of Tao Lei's rationalizing neural predictions
horizon94's Repositories
horizon94/rationalizing-neural-predictions
[in progress] pytorch implementation of Tao Lei's rationalizing neural predictions
horizon94/17TeamF_SparkStreaming
horizon94/apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
horizon94/attention-nmt
A simple implementation of attention based encoder-decoder for nmt.
horizon94/CATENA_learning
horizon94/ChatBotCourse
自己动手做聊天机器人教程
horizon94/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
horizon94/cnn-re-tf
Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow
horizon94/cnn_rc
Relation Classification with Convolutional Neural Networks
horizon94/CNN_sentence
CNNs for sentence classification
horizon94/DALL-E
PyTorch package for the discrete VAE used for DALL·E.
horizon94/gittest
horizon94/lmdeploy
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
horizon94/Megatron-DeepSpeed-bigscience
Ongoing research training transformer language models at scale, including: BERT & GPT-2
horizon94/Megatron-DeepSpeed-microsoft
Ongoing research training transformer language models at scale, including: BERT & GPT-2
horizon94/Neural
deep learning experiments
horizon94/pytorch-vq-vae
PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
horizon94/PyTorchLearn
horizon94/Relation_Extraction
Relation Extraction using Deep learning(CNN)
horizon94/relation_extraction_in_clinical_text
CNN for relation extraction among problem, treatment and test in clinical text.
horizon94/spark
Mirror of Apache Spark
horizon94/taming-transformers
Taming Transformers for High-Resolution Image Synthesis
horizon94/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.
horizon94/test
just test
horizon94/text_nn
horizon94/trigram
horizon94/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
horizon94/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
horizon94/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
horizon94/word2vec-api
Simple web service providing a word embedding model