NirantK's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
coder/code-server
VS Code in the browser
google-research/bert
TensorFlow code and pre-trained models for BERT
flairNLP/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
ludwig-ai/ludwig
Low-code framework for building custom LLMs, neural networks, and other AI models
yandexdataschool/nlp_course
YSDA course in Natural Language Processing
Syllo/nvtop
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
pymupdf/PyMuPDF
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
ahkarami/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
meetps/pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
allenai/scibert
A BERT model for scientific text.
facebookresearch/LAMA
LAnguage Model Analysis
PolyAI-LDN/conversational-datasets
Large datasets for conversational AI
jayinai/ml-interview
Preparing for machine learning interviews
ines/course-starter-python
👩🏫🐍 Starter repo for building interactive Python courses
explosion/prodigy-recipes
🍳 Recipes for the Prodigy, our fully scriptable annotation tool
shuzi/insuranceQA
A question answering corpus in insurance domain
textpipe/textpipe
Textpipe: clean and extract metadata from text
feedly/transfer-nlp
NLP library designed for reproducible experimentation management
kheyer/Genomic-ULMFiT
ULMFiT for Genomic Sequence Data
n-waves/multifit
The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761
malllabiisc/RESIDE
EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
explosion/wheelwright
🎡 Automated build repo for Python wheels and source packages
kumar-shridhar/Know-Your-Intent
State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.
tobiascz/MNIST_Pytorch_python_and_capi
This is an example of how to train a MNIST network in Python and run it in c++ with pytorch 1.0
fastai/tf-fit
Fit your tensorflow model using fastai and PyTorch
Li-Ming-Fan/OCR-CRNN-CTC
ocr, cnn+lstm+ctc, crnn, recognition model, tensorflow
NirantK/pytorch-web-deploy
Simple, fast web deployment for your PyTorch models
fredguth/fastai_playground
Notebooks of experiences with the fastai library
MotherBot/Intent-Classification-Benchmark
Intent classification benchmarks on Chatbot, AskUbuntu and WebApplication corpus