Stars
Large Language Model Text Generation Inference
Lightning fast hash functions using hand-tuned WebAssembly binaries
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Ongoing research training transformer language models at scale, including: BERT & GPT-2
sanjeevanahilan / nanoChatGPT
Forked from karpathy/nanoGPTA crude RLHF layer on top of nanoGPT with Gumbel-Softmax trick
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
Ethereum implementation on the efficiency frontier
Scans uniswap factory contract for pairCreated events, logs it into remote mongoDB.
Source code for Eat The Blocks, a screencast for Ethereum Dapp Developers
🦄 The unofficial Python client for the Uniswap exchange.
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
Google Research
Make huge neural nets fit in memory
Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
PyTorch AutoNEB implementation to identify minimum energy paths, e.g. in neural network loss landscapes
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
Efficiently computes derivatives of NumPy code.
Create *beautiful* command-line interfaces with Python
A set of keybindings for evil-mode