Entropy Based Sampling and Parallel CoT Decoding

PyTorch native finetuning library

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

LLM Frontend in a single html file

A high-throughput and memory-efficient inference and serving engine for LLMs

You like pytorch? You like micrograd? You love tinygrad! ❤️

Tips and tricks for working with Large Language Models like OpenAI's GPT-4.

Go ahead and axolotl questions

Code for fine-tuning Platypus fam LLMs using LoRA

Minimal HTTP download manager

Accessible large language models via k-bit quantization for PyTorch.

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

nannyml: post-deployment data science in python

Implementing RASP transformer programming language https://arxiv.org/pdf/2106.06981.pdf.

a byte-sized time series database

An example cohttp server w/ dockerfile for deploying to now.sh

Approximate nearest neighbor search with product quantization on GPU in pytorch and cuda

A list of semi to fully remote-friendly companies (jobs) in tech.

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

A collection of infrastructure and tools for research in neural network interpretability.

A modular functional web framework

☁️ Build multimodal AI applications with cloud-native stack

Transformer-based models for Natural Language Processing in OCaml

Tiled scrollable window management for Gnome Shell

Library of autoencoders for sequential data

Research language for array processing in the Haskell/ML family

Full text geoparsing as a Python library

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).