Stars
Starter-kit to build constrained agents with Nextjs, FastAPI and Langchain
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
This is a workshop designed for Amazon Bedrock a foundational model service.
DSPy: The framework for programming—not prompting—foundation models
A collection of stock market resources and tools
Stable Diffusion web UI
PyTorch original implementation of Cross-lingual Language Model Pretraining.
pytrec_eval is an Information Retrieval evaluation tool for Python, based on the popular trec_eval.
To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
A framework for few-shot evaluation of language models.
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 …
Awesome-LLM: a curated list of Large Language Model
Personal cheat sheet for querying relational database in SQL Server
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
BirdNET analyzer for scientific audio data processing.
A list of useful resources in the bird sound (song and calls) recognition, such as datasets, papers, links to open source projects and competitions
This project is deprecated. Check my new project ChatHub:
a collection of packages for ML projects, written in Tensorflow's Python API
Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
A collection of papers about Transformer in the field of medical image analysis.
A collection of resources and papers on Diffusion Models
tracking medical datasets, with a focus on medical imaging