terminiter

Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

carla

Open-source simulator for autonomous driving research.

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

ParlAI

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

facets

Visualizations for machine learning datasets

lucid

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

SC-FEGAN

SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color (ICCV2019)

deep-learning-model-convertor

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

AtomicGameEngine

The Atomic Game Engine is a multi-platform 2D and 3D engine with a consistent API in C++, C#, JavaScript, and TypeScript

deepmask

Torch implementation of DeepMask and SharpMask

awesome-lane-detection

A paper list of lane detection.

HsuanTienLin_MachineLearning

Top-AI-Conferences-Paper-with-Code

MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code

TensorComprehensions

A domain specific language to express machine learning workloads.

MAgent

A Platform for Many-Agent Reinforcement Learning

DetectAndTrack

The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"

SMASH

An experimental technique for efficiently exploring neural architectures.

imitation-learning

Repository to store conditional imitation learning based AI that runs on CARLA.

cd4ml-workshop

Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

NTM-One-Shot-TF

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

reinforcement-learning

Reinforcement learning baseline agent trained with the Actor-critic (A3C) algorithm.

CommNet

Neural network model, suitable for multi-agent learning. https://arxiv.org/abs/1605.07736

dauphin

An uncertainty-based random sampling algorithm for data augmentation

PRDNN

Code from PLDI '21 paper "Provable Repair of Deep Neural Networks."

convex_adversarial

A method for training neural networks that are provably robust to adversarial attacks.

DeepSentinel

Anomaly detection using deep neural network