gpt-jA GPT-J API to use with python3 to generate text, blogs, code, and more
Stars: β 101 (-35.67%)
Mutual labels: gpt-3, gpt-neo-text-generation, gpt-j
gpt-j-apiAPI for the GPT-J language model π¦. Including a FastAPI backend and a streamlit frontend
Stars: β 248 (+57.96%)
Mutual labels: text-generation, gpt-3, gpt-j
finetune-gpt2xlGuide: Finetune GPT2-XL (1.5 Billion Parameters) and finetune GPT-NEO (2.7 B) on a single GPU with Huggingface Transformers using DeepSpeed
Stars: β 353 (+124.84%)
Mutual labels: deepspeed, gpt-neo, gpt-neo-fine-tuning
pistoBotCreate an AI that chats like you
Stars: β 121 (-22.93%)
Mutual labels: text-generation
Basic-UI-for-GPT-J-6B-with-low-vramA repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.
Stars: β 90 (-42.68%)
Mutual labels: gpt-neo
Gumbel-CRFImplementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs
Stars: β 51 (-67.52%)
Mutual labels: text-generation
transformer-drg-style-transferThis repository have scripts and Jupyter-notebooks to perform all the different steps involved in Transforming Delete, Retrieve, Generate Approach for Controlled Text Style Transfer
Stars: β 97 (-38.22%)
Mutual labels: text-generation
gap-text2sqlGAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
Stars: β 83 (-47.13%)
Mutual labels: text-generation
Skin Lesions Classification DCNNsTransfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
Stars: β 47 (-70.06%)
Mutual labels: fine-tuning
porn-description-generatorGenerates new porn descriptions based on an edited dataset of xhamster video descriptions uploaded between 2007-2016.
Stars: β 40 (-74.52%)
Mutual labels: text-generation
caffe-char-rnnMulti-layer Recurrent Neural Networks (with LSTM) for character-level language models in Caffe
Stars: β 25 (-84.08%)
Mutual labels: text-generation
machine learning courseArtificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)
Stars: β 47 (-70.06%)
Mutual labels: fine-tuning
backpropBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
Stars: β 229 (+45.86%)
Mutual labels: fine-tuning
hangul ipsumνκΈ λ²μ μ lorem ipsum μμ±κΈ°
Stars: β 17 (-89.17%)
Mutual labels: text-generation
text-generatorGolang text generator for generate SEO texts
Stars: β 18 (-88.54%)
Mutual labels: text-generation
Neural-Scam-ArtistWeb Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.
Stars: β 18 (-88.54%)
Mutual labels: fine-tuning
Vehicle-DetectionVehicle Detection Using Deep Learning and YOLO Algorithm
Stars: β 96 (-38.85%)
Mutual labels: fine-tuning
kaldi ag trainingDocker image and scripts for training finetuned or completely personal Kaldi speech models. Particularly for use with kaldi-active-grammar.
Stars: β 14 (-91.08%)
Mutual labels: fine-tuning
