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alectiosdk

Components for building sauce files or Docker images to be used on Alectio Platform

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

beir

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

bert-pytorch

Google AI 2018 BERT pytorch implementation

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

cql

Code for conservative Q-learning

cs344

Introduction to Parallel Programming class code

deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

djl-serving

docker-image-examples-for-alectio-platform

fast-krippendorff

Fast computation of Krippendorff's alpha agreement measure in Python.

gitignore

A collection of useful .gitignore templates

gymnasium

A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)

hsl89.github.io

Hongshan's blog on ML, algorithms, math and other stuff

leetcode-1

This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The problems attempted multiple times are labelled with hyperlinks.

megatron-lm

Ongoing research training transformer models at scale

ml-youtube-courses

📺 A place to discover the latest machine learning courses on YouTube.

mteb

Massive Text Embedding Benchmark

natural-language-processing

Resources for "Natural Language Processing" Coursera course.

palm-rlhf-pytorch

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

paper-reading

深度学习经典、新论文逐段精读

practical_rl

A course in reinforcement learning in the wild

pytorchvideo

A deep learning library for video understanding research.

reinforcement-learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

reinforcement-learning-algorithms

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

restricted-boltzmann-machine

Python implementation of Restricted Boltzmann Machine (RBM). And an example on MNIST dataset.

rl-nuts-and-bolts

Implementation details of good stuff from RL community

sagemaker-debugger

Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors

stable-diffusion

A latent text-to-image diffusion model