meshidenn's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
f/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
arc53/DocsGPT
GPT-powered chat for documentation, chat with your documents
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
FMInference/FlexGen
Running large language models on a single GPU for throughput-oriented scenarios.
ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
clovaai/donut
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
srush/GPU-Puzzles
Solve puzzles. Learn CUDA.
CarperAI/trlx
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
makcedward/nlpaug
Data augmentation for NLP
microsoft/LMOps
General technology for enabling AI capabilities w/ LLMs and MLLMs
stanford-crfm/helm
Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image models in Holistic Evaluation of Text-to-Image Models (HEIM) (https://arxiv.org/abs/2311.04287).
pages-themes/minimal
Minimal is a Jekyll theme for GitHub Pages
koursaros-ai/nboost
NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)
taishi-i/awesome-japanese-nlp-resources
A curated list of resources dedicated to Python libraries, LLMs, dictionaries, and corpora of NLP for Japanese
laura-dietz/tutorial-utilizing-kg
Resources for Tutorial on "Utilizing Knowledge Graphs in Text-centric Information Retrieval"
oshizo/JapaneseEmbeddingEval
nschneid/amr-tutorial
Abstract Meaning Representation (AMR) tutorial slides
rougier/python-visualization-landscape
Adaptation of Jake VanderPlas graphic about python visualization landscape
mti-lab/math_writing
Introduction to mathematical writing for undergraduate students majoring in engineering
acl-org/responsibleNLPresearch
templates and other documents regarding responsible NLP research
nekoumei/cibook-python
tanreinama/Japanese-BPEEncoder
Japanese-BPEEncoder
7thdata/system-dev-specifications
システム開発要件定義書
NLP-Tutorials/AACL-IJCNLP2022-KGC-Tutorial
Materials for AACL-IJCNLP-2022 tutorial: Efficient and Robust Knowledge Graph Construction
yahoojapan/vespa-tutorial
Japanese tutorial for Vespa
asciidwango/ExpertPython3_Source
google-research-datasets/c4repset
C4RepSet: Representative Subset from C4 data for Training Pre-trained LMs
wikihow-hierarchy/wikihow-hierarchy.github.io