Stars
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
A playbook for systematically maximizing the performance of deep learning models.
keerthanpg / talktopapers
Forked from nuwandavek/talktopapersThe simplest, fastest repository for training/finetuning medium-sized GPTs.
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
LlamaIndex is the leading document agent and OCR platform
Turn (almost) any Python command line program into a full GUI application with one line
✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML and CSV into interactive graphs.
Stable Diffusion web UI
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and l…
Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
Mistral: A strong, northwesterly wind: Framework for transparent and accessible large-scale language model training, built with Hugging Face 🤗 Transformers.
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
Folklore facts on probability distribution learning, testing, and whatever-ing
Template Makefile for ML projects in Python.
code for paper "Improving Sequence-to-Sequence Learning via Optimal Transport"
Model interpretability and understanding for PyTorch
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
The basic distribution probability Tutorial for Deep Learning Researchers
Codebase for "SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems"
A neural network using the sub linear deep learning engine implementation.