AiSingularity's Stars
beartype/beartype
Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
qdrant/qdrant
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
karpathy/micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
gradio-app/gradio
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
yeoman/yeoman
Yeoman - a set of tools for automating development workflow
daviddao/awful-ai
😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness
tomohideshibata/BERT-related-papers
BERT-related papers
espnet/espnet
End-to-End Speech Processing Toolkit
CRCTransformers/deepdive-book
MamczurMiroslaw/best_ai_knowledge_repos
The best of the best AI knowledge repositories
chiphuyen/coding-exercises
My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.
chiphuyen/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
SeanNaren/CORD-19-ANN
ANN Search through the COVID CORD-19 Dataset using SBERT.
cybertronai/transformer-xl
Training Transformer-XL on 128 GPUs
bentrevett/pytorch-nli
A tutorial on how to implement models for natural language inference using PyTorch and TorchText. [IN PROGRESS]
bentrevett/pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
bentrevett/pytorch-image-classification
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
alirezadir/Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
iamtrask/Grokking-Deep-Learning
this repository accompanies the book "Grokking Deep Learning"
bentrevett/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
facebookresearch/nevergrad
A Python toolbox for performing gradient-free optimization
flairNLP/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
afshinea/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
salesforce/awd-lstm-lm
LSTM and QRNN Language Model Toolkit for PyTorch
lorenlugosch/end-to-end-SLU
PyTorch code for end-to-end spoken language understanding (SLU) with ASR-based transfer learning
facebookresearch/XLM
PyTorch original implementation of Cross-lingual Language Model Pretraining.
chiphuyen/lazynlp
Library to scrape and clean web pages to create massive datasets.
tensorflow/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.