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agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

amisharajesh.github.io

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

asoans.amisharajesh.github.io

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

big-bench

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

chatgpt-prompt-deeplearningai

ChatGPT Prompt Engineering for Developers DeepLearning.AI Coursera

comfyui

The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

data-structures-algorithms-ucsd

Data Structures and Algorithms Specialization UC San Diego

data-structures-java

UC Berkeley CS 61B Data Structures

deepdream

docusaurus

Easy to maintain open source documentation websites.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastchat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

front-end-interview-handbook

⚡️ Front End interview preparation materials for busy engineers

garage

A toolkit for reproducible reinforcement learning research.

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

helm

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 models in Holistic Evaluation of Text-to-Image Models (HEIM) (https://arxiv.org/abs/2311.04287).

intro-ar-google

Introduction to Augmented Reality and ARCore Google AR & VR Coursera

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

kuberay

A toolkit to run Ray applications on Kubernetes

kubernetes

Production-Grade Container Scheduling and Management

learning-to-learn

Learning to Learn in TensorFlow

lm-evaluation-harness

A framework for few-shot evaluation of language models.

lora

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

machine-learning-spec-uw

Machine Learning Specialization University of Washington Coursera

medusa

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

megatron-lm

Ongoing research training transformer models at scale