xhl's repositories
grok-1
Grok open release
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
llama
Inference code for LLaMA models
semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps
MiniGPT-4
MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models
StableLM
StableLM: Stability AI Language Models
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
whisper
Robust Speech Recognition via Large-Scale Weak Supervision
fsdl-text-recognizer-2022-labs
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
Mathematics-for-Machine-Learning-and-Data-Science-Specialization
Non-credit online course by DeepLearning.AI
LLMSurvey
A collection of papers and resources related to Large Language Models.
the-algorithm
Source code for Twitter's Recommendation Algorithm
Augmentor
Image augmentation library in Python for machine learning.
clip-retrieval
Easily compute clip embeddings and build a clip retrieval system with them
pollinations-ipfs
Pollinations IPFS state and storage library
pollinations
Generate Art
Chinese-ELECTRA
Pre-trained Chinese ELECTRA(中文ELECTRA预训练模型)
imaginaire
NVIDIA PyTorch GAN library with distributed and mixed precision support
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
MUNIT
Multimodal Unsupervised Image-to-Image Translation
InvariantRiskMinimization
PyTorch code to run synthetic experiments.
dissect
Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Network"
stanza
Official Stanford NLP Python Library for Many Human Languages
awesome-text-summarization
A curated list of resources dedicated to text summarization
DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
GNNPapers
Must-read papers on graph neural networks (GNN)
GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
albert
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
gan-compression
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs