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Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, persist, and execute on your own infrastructure.
Large Action Model framework to develop AI Web Agents
A natural language interface for computers
Customizable implementation of the self-instruct paper.
UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform…
Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHX…
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Main repo including core data model, data marts, reference data, terminology, and the clinical concept library
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
Download FASTQ files from SRA or ENA repositories.
A tool to analyze and debug neural networks in pytorch. Use a GUI to traverse the computation graph and view the data from many different angles at the click of a button.
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
A playbook for systematically maximizing the performance of deep learning models.
AI code-writing assistant that understands data content
notebooks used to analysis projects
Self-serve BI to 10x your data team ⚡️
Pelias is a modular open-source geocoder using Elasticsearch.
Labs and demos for courses for GCP Training (http:https://cloud.google.com/training).
An opinionated list of awesome Python frameworks, libraries, software and resources.
Latex code for making neural networks diagrams
A natural language modeling framework based on PyTorch
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
An open source python library for automated feature engineering
Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.
Hyperparameter Experiments with TensorFlow and Keras